7.1.7 Interest Operators, Interest Points, Feature Points, Salient Points

Shackleton, M.A.[Mark Andrew], Welsh, W.J.[William John],
Normalized image feature processing,
US_Patent5,719,951, Feb 17, 1998
WWW Version. BibRef 9802

Zitova, B.[Barbara], Kautsky, J.[Jaroslav], Peters, G.[Gabriele], Flusser, J.[Jan],
Robust detection of significant points in multiframe images,
PRL(20), No. 2, February 1999, pp. 199-206. BibRef 9902

Schmid, C.[Cordelia], Mohr, R.[Roger], and Bauckhage, C.[Christian],
Evaluation of Interest Point Detectors,
IJCV(37), No. 2, June 2000, pp. 151-172.
WWW Version. 0008
BibRef
Earlier:
Comparing and Evaluating Interest Points,
ICCV98(230-235).
IEEE DOI Link BibRef

Fayolle, J.[Jacques], Riou, L.[Laurence], Ducottet, C.[Christophe],
Robustness of a multiscale scheme of feature points detection,
PR(33), No. 9, September 2000, pp. 1437-1453.
WWW Version. 0005
BibRef

Fayolle, J., Ducottet, C., Riou, L., Coudert, S.,
A Wavelet Based Multiscale Detection Scheme of Feature Points,
ICPR00(Vol III: 421-424).
IEEE DOI Link 0009
BibRef

Chau, C.P., Siu, W.C.,
New nonparametric dominant point detection algorithm,
VISP(148), No. 5, October 2001, pp. 363-374. 0201
BibRef

Ruiz-Alzola, J., Kikinis, R., Westin, C.F.,
Detection of point landmarks in multidimensional tensor data,
SP(81), No. 10, October 2001, pp. 2243-2247.
HTML Version. 0110
BibRef

Sebe, N.[Nicu], Lew, M.S.[Michael S.],
Comparing salient point detectors,
PRL(24), No. 1-3, January 2003, pp. 89-96.
Elsevier DOI Link 0211
BibRef

Loy, G., Zelinsky, A.,
Fast radial symmetry for detecting points of interest,
PAMI(25), No. 8, August 2003, pp. 959-973.
IEEE Abstract. 0308
BibRef
Earlier:
A Fast Radial Symmetry Transform for Detecting Points of Interest,
ECCV02(I: 358 ff.).
HTML Version. 0205
BibRef

Kenney, C.S.[Charles S.], Manjunath, B.S., Zuliani, M.[Marco], Hewer, G.A.[Gary A.], van Nevel, A.[Alan],
A condition number for point matching with application to registration and postregistration error estimation,
PAMI(25), No. 11, November 2003, pp. 1437-1454.
IEEE Abstract. 0311
To select tie points to use in matching. Condition number to minimize functions fro translation, rotation-scaling and affine transformations. Test is how well the points work in matching operations. BibRef

Zuliani, M., Kenney, C.S., Manjunath, B.S.,
A Mathematical Comparison of Point Detectors,
VideoRegister04(172).
HTML Version. 0502
BibRef

Mikolajczyk, K.[Krystian], Schmid, C.[Cordelia],
Scale and Affine Invariant Interest Point Detectors,
IJCV(60), No. 1, October 2004, pp. 63-86.
WWW Version. 0405
BibRef
Earlier:
An Affine Invariant Interest Point Detector,
ECCV02(I: 128 ff.).
HTML Version. 0205
See also Comparison of Affine Region Detectors, A. BibRef

Mikolajczyk, K.[Krystian],
Detection of local features invariant to affine transformations,
Ph.D.Thesis, Institut National Polytechnique de Grenoble, France, 2002. BibRef 0200

Mikolajczyk, K.[Krystian], Schmid, C.[Cordelia],
Indexing Based on Scale Invariant Interest Points,
ICCV01(I: 525-531).
IEEE DOI Link 0106
Interest point computation. BibRef

Mikolajczyk, K., Zisserman, A., Schmid, C.,
Shape recognition with edge-based features,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Koniusz, P.[Piotr], Mikolajczyk, K.[Krystian],
Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error,
ICIP11(2413-2416).
IEEE DOI Link 1201
BibRef
And:
Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match,
ICIP11(661-664).
IEEE DOI Link 1201
BibRef
Earlier:
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps,
ICPR10(762-765).
IEEE DOI Link 1008
BibRef
Earlier:
Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods,
BMVC09(xx-yy).
PDF Version. 0909
BibRef

Godtliebsen, F., Marron, J.S., Chaudhuri, P.[Probal],
Statistical significance of features in digital images,
IVC(22), No. 13, 1 November 2004, pp. 1093-1104.
WWW Version. 0410
Determine which features are strong enough to be distinguished in a noisy image. BibRef

Tankus, A.[Ariel], Yeshurun, Y.[Yehezkel],
Scene-Consistent Detection of Feature Points in Video Sequences,
CVIU(97), No. 1, January 2005, pp. 1-29.
WWW Version. 0412
BibRef
Earlier: CVPR01(I:631-638).
IEEE Abstract. 0110
Features for tracking, zero crossings of gradient. BibRef

Ila, V.[Viorela], Garcia, R.[Rafael], Cufi, X.[Xavier], Batlle, J.[Joan],
Interest point characterisation through textural analysis for rejection of bad correspondences,
PRL(26), No. 10, 15 July 2005, pp. 1587-1596.
WWW Version. 0506
BibRef

Wang, S.J.[Sheng-Jyh], Kuo, L.C.[Lun-Chia], Jong, H.H.[Hsin-Haw], Wu, Z.H.[Zong-Han],
Representing images using points on image surfaces,
IP(14), No. 8, August 2005, pp. 1043-1056.
IEEE DOI Link 0508
High curvature points on image surface. BibRef

Heidemann, G.,
The Long-Range Saliency of Edge- and Corner-Based Salient Points,
IP(14), No. 11, November 2005, pp. 1701-1706.
IEEE DOI Link 0510
See also Focus-of-Attention from Local Color Symmetries. BibRef

Bay, H.[Herbert], Ess, A.[Andreas], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Speeded-Up Robust Features (SURF),
CVIU(110), No. 3, June 2008, pp. 346-359.
WWW Version. 0711
BibRef
Earlier: A1, A3, A4, Only:
SURF: Speeded Up Robust Features,
ECCV06(I: 404-417).
Springer DOI Link 0608
Interest points; Local features; Feature description; Camera calibration; Object recognition. Use essential parts of features to simplify for speed. See also Comparison of Affine Region Detectors, A. BibRef

Tuytelaars, T.[Tinne],
Dense interest points,
CVPR10(2281-2288).
IEEE DOI Link 1006
BibRef

Willems, G.[Geert], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector,
ECCV08(II: 650-663).
Springer DOI Link 0810
BibRef

Vihonen, J., Ala-Kleemola, T., Jylha, J., Kerminen, R., Rauhamaa, J., Visa, A.,
Metadata in Sequential Real-Time 2-D Detection,
SPLetters(14), No. 6, June 2007, pp. 413-416.
IEEE DOI Link 0706
Detecting structures with minimal data. BibRef

Vihonen, J., Jylha, J., Ala-Kleemola, T., Ruotsalainen, M., Kauppila, J., Huotilainen, T., Rauhamaa, J., Visa, A.,
Directional Filtering for Sequential Image Analysis,
SPLetters(15), No. 1, 2008, pp. 902-905.
IEEE DOI Link 0901
BibRef

Zhu, Q.[Qing], Wu, B.[Bo], Wan, N.[Neng],
A Filtering Strategy for Interest Point Detecting to Improve Repeatability and Information Content,
PhEngRS(73), No. 5, May 2007, pp. 547-554.
WWW Version. 0709
Making use of a filtering strategy reduces the number on interest points with poor repreatability and information content. BibRef

Carneiro, G.[Gustavo], Jepson, A.D.[Allan D.],
Flexible Spatial Configuration of Local Image Features,
PAMI(29), No. 12, December 2007, pp. 2089-2104.
IEEE DOI Link 0711
BibRef
Earlier:
The Distinctiveness, Detectability, and Robustness of Local Image Features,
CVPR05(II: 296-301).
IEEE DOI Link 0507
BibRef
Earlier:
Flexible spatial models for grouping local image features,
CVPR04(II: 747-754).
IEEE Abstract. 0408
BibRef
Earlier:
Phase-Based Local Features,
ECCV02(I: 282 ff.).
HTML Version. 0205
Local features are intended to be reliable under various transformations, but this is not always the case. Introduce two geometric filters, based on semilocal spatial configuration of local features robust to rigid and non-rigid transformations. BibRef

Carneiro, G.[Gustavo],
The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors,
CVPR10(3509-3516).
IEEE DOI Link Video of talk:
WWW Version. 1006
BibRef

Carneiro, G.[Gustavo], Lowe, D.G.[David G.],
Sparse Flexible Models of Local Features,
ECCV06(III: 29-43).
Springer DOI Link 0608
BibRef

Carneiro, G., Jepson, A.D.,
Pruning local feature correspondences using shape context,
ICPR04(III: 16-19).
IEEE DOI Link 0409
BibRef
Earlier:
Multi-scale phase-based local features,
CVPR03(I: 736-743).
IEEE Abstract. 0307
Where: interest point location; What: feature detection. Quantitative evaluation of both the where and the what for a) phase-based local features (Carneiro and Jepson, 2002), See also Flexible Spatial Configuration of Local Image Features. b) differential invariants (Schmid and Mohr, 1997), See also Local Grayvalue Invariants for Image Retrieval. c) the scale invariant feature transform (SIFT) (Lowe, 1999). See also Distinctive Image Features from Scale-Invariant Keypoints. The first comes out best. BibRef

Andreopoulos, Y., Patras, I.,
Incremental Refinement of Image Salient-Point Detection,
IP(17), No. 9, September 2008, pp. 1685-1699.
IEEE DOI Link 0810
BibRef

Li, J.[Jing], Yang, T.[Tao], Pan, Q.[Quan], Cheng, Y.M.[Yong-Mei], Hou, J.[Jun],
A Novel Algorithm For Speeding Up Keypoint Detection And Matching,
IJIG(8), No. 4, October 2008, pp. 643-661. 0804
BibRef

Mukherjee, A., Velez-Reyes, M., Roysam, B.,
Interest Points for Hyperspectral Image Data,
GeoRS(47), No. 3, March 2009, pp. 748-760.
IEEE DOI Link 0903
BibRef

Li, C.L.[Can-Lin], Ma, L.Z.[Li-Zhuang],
A new framework for feature descriptor based on SIFT,
PRL(30), No. 5, 1 April 2009, pp. 544-557.
Elsevier DOI Link
WWW Version. 0903
Feature descriptor; SIFT; Distinctiveness; Invariance; Elliptical neighboring region; Log-polar histogram BibRef

Gevrekci, M.[Murat], Gunturk, B.K.[Bahadir K.],
Illumination robust interest point detection,
CVIU(113), No. 4, April 2009, pp. 565-571.
Elsevier DOI Link
WWW Version. 0903
BibRef
Earlier:
Reliable interest point detection under large illumination variations,
ICIP08(869-872).
IEEE DOI Link 0810
Corner detection; Interest point detection; Illumination invariance; Harris corner detector BibRef

Carneiro, G.[Gustavo], Jepson, A.D.[Allan D.],
The quantitative characterization of the distinctiveness and robustness of local image descriptors,
IVC(27), No. 8, 2 July 2009, pp. 1143-1156.
Elsevier DOI Link
WWW Version. 0906
Visual object recognition; Local image descriptors; Discriminant classifier; Regression models BibRef

Cheung, W., Hamarneh, G.[Ghassan],
n-SIFT: n-Dimensional Scale Invariant Feature Transform,
IP(18), No. 9, September 2009, pp. 2012-2021.
IEEE DOI Link 0909
BibRef

Li, Q.,
Interest Points of General Imbalance,
IP(18), No. 11, November 2009, pp. 2536-2546.
IEEE DOI Link 0911
Stable interest points in texture. Apply to road sign detection. BibRef

Gao, J.[Jian], Huang, X.H.[Xin-Han], Liu, B.[Bo],
A quick scale-invariant interest point detecting approach,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI Link 1003
BibRef

Loog, M.[Marco], Lauze, F.[Francois],
The Improbability of Harris Interest Points,
PAMI(32), No. 6, June 2010, pp. 1141-1147.
IEEE DOI Link 1004
Explore how (un)common Harris interest points really are. You want salient (i.e. not exceedingly common) points for matching. Harris points are generally uncommon. BibRef

Maver, J.[Jasna],
Self-Similarity and Points of Interest,
PAMI(32), No. 7, July 2010, pp. 1211-1226.
IEEE DOI Link 1006
Interest points. Total variability of local regions. Uses between-circumferences sum of squares, between-radii sum of squares, and the remainder. BibRef

Palenichka, R.M.[Roman M.], Zaremba, M.B.[Marek B.],
Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images,
GeoRS(48), No. 7, July 2010, pp. 2864-2879.
IEEE DOI Link 1007
BibRef
Earlier:
A Spatio-Temporal Isotropic Operator for the Attention-Point Extraction,
CAIP09(318-325).
Springer DOI Link 0909
See also Fast Structure-Adaptive Evaluation of Local Features in Images, A. See also Multiscale Isotropic Matched Filtering for Individual Tree Detection in LiDAR Images. BibRef

Wu, F.C., Wang, Z.H., Wang, X.G.,
Feature vector field and feature matching,
PR(43), No. 10, October 2010, pp. 3273-3281.
Elsevier DOI Link
WWW Version. 1007
Inner product; Exterior product; Feature matching; Feature descriptor BibRef

Wang, X.G., Wu, F.C., Wang, Z.H.,
Harris feature vector descriptor (HFVD),
ICPR08(1-4).
IEEE DOI Link 0812
Image gradiant distribution BibRef

Yan, J.C.[Jun-Chi], Zhu, M., Liu, H., Liu, Y.C.[Yun-Cai],
Visual Saliency Detection via Sparsity Pursuit,
SPLetters(17), No. 8, August 2010, pp. 739-742.
IEEE DOI Link 1007
BibRef

Yan, J.C.[Jun-Chi], Liu, J.[Jian], Li, Y.[Yin], Niu, Z.B.[Zhi-Bin], Liu, Y.C.[Yun-Cai],
Visual saliency detection via rank-sparsity decomposition,
ICIP10(1089-1092).
IEEE DOI Link 1009
BibRef

Kawewong, A.[Aram], Tangruamsub, S.[Sirinart], Hasegawa, O.[Osamu],
Position-Invariant Robust Features for Long-Term Recognition of Dynamic Outdoor Scenes,
IEICE(E93-D), No. 9, September 2010, pp. 2587-2601.
WWW Version. 1003
BibRef
Earlier:
Wide-Baseline Visible Features for Highly Dynamic Scene Recognition,
CAIP09(723-731).
Springer DOI Link 0909
Find features (SIFT, SURF) that are widely visible. BibRef

Graziani, D.[Daniele], Blanc-Feraud, L.[Laure], Aubert, G.[Gilles],
A Formal Gamma-Convergence Approach For The Detection of Points in 2-D Images,
SIIMS(3), No. 3, 2010, pp. 578-594.
WWW Version.
WWW Version. points detection; curvature-dependent functionals; divergence-measure fields; Gamma-convergence; biological 2-D images BibRef 1000

Lu, H.M.[Hui-Min], Zheng, Z.Q.[Zhi-Qiang],
Two novel real-time local visual features for omnidirectional vision,
PR(43), No. 12, December 2010, pp. 3938-3949.
Elsevier DOI Link
WWW Version. 1003
Local visual feature; Omnidirectional vision; FAST; LBP; CS-LBP; Feature detector; Feature descriptor BibRef

Mishra, A.[Akshaya], Wong, A.[Alexander], Clausi, D.A.[David A.], Fieguth, P.W.[Paul W.],
Quasi-random nonlinear scale space,
PRL(31), No. 13, 1 October 2010, pp. 1850-1859.
Elsevier DOI Link
WWW Version. 1003
BibRef
Earlier: A2, A1, A3, A4:
Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments,
CRV10(25-31).
IEEE DOI Link 1005
Nonlinear scale space; Bayesian estimation; Quasi-random; Anisotropic diffusion; Multi-scale; Edge detection BibRef

Mishra, A.[Akshaya], Wong, A.[Alexander], Fieguth, P.W.[Paul W.], Clausi, D.A.[David A.],
Multi-scale 3D representation via volumetric quasi-random scale space,
ICIP11(2105-2108).
IEEE DOI Link 1201
BibRef

Ail, D.N.[Dan-Ni], Han, X.H.[Xian-Hua], Ruan, X.[Xiang], Chen, Y.W.[Yen-Wei],
Color Independent Components Based SIFT Descriptors for Object/Scene Classification,
IEICE(E93-D), No. 9, September 2010, pp. 2577-2586.
WWW Version. 1003
BibRef
And:
Adaptive Color Independent Components Based SIFT Descriptors for Image Classification,
ICPR10(2436-2439).
IEEE DOI Link 1008
BibRef

Ai, D.N.[Dan-Ni], Han, X.H.[Xian-Hua], Duan, G.F.[Gui-Fang], Ruan, X.[Xiang], Chen, Y.W.[Yen-Wei],
Global Selection vs Local Ordering of Color SIFT Independent Components for Object/Scene Classification,
IEICE(E94-D), No. 9, September 2011, pp. 1800-1808.
WWW Version. 1110
BibRef

Jia, H.[Hui], Yang, J.K.[Jian-Kun], Li, X.J.[Xiu-Jian],
Minimum variance unbiased subpixel centroid estimation of point image limited by photon shot noise,
JOSA-A(27), No. 9, September 2010, pp. 2038-2045.
WWW Version. 1003
BibRef

Gil, A.[Arturo], Martinez Mozos, O.[Oscar], Ballesta, M.[Monica], Reinoso, O.[Oscar],
A comparative evaluation of interest point detectors and local descriptors for visual SLAM,
MVA(21), No. 6, October 2010, pp. 905-920.
WWW Version. 1011
BibRef

Palaniswamy, S., Thacker, N.A., Klingenberg, C.P.,
Automatic identification of landmarks in digital images,
IET-CV(4), No. 4, December 2010, pp. 247-260.
WWW Version. 1011
BibRef
Earlier:
Automatic Identification of Morphometric Landmarks in Digital Images,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

Ragheb, H.[Hossein], Thacker, N.A.[Neil A.],
Morphometric Shape Analysis with Measurement Covariance Estimates,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Huang, K.Q.[Kai-Qi], Tao, D.C.[Da-Cheng], Yuan, Y.[Yuan], Li, X.L.[Xue-Long], Tan, T.N.[Tie-Niu],
Biologically Inspired Features for Scene Classification in Video Surveillance,
SMC-B(41), No. 1, February 2011, pp. 307-313.
IEEE DOI Link 1102
Scene classification based on new model features. Helps with occlusions, etc. BibRef

Huang, Y., Huang, K.Q.[Kai-Qi], Tao, D.C.[Da-Cheng], Tan, T.N.[Tie-Niu], Li, X.L.[Xue-Long],
Enhanced Biologically Inspired Model for Object Recognition,
SMC-B(41), No. 6, December 2011, pp. 1668-1680.
IEEE DOI Link 1112
BibRef

Park, H.[Hanhoon], Mitsumine, H.[Hideki], Fujii, M.[Mahito],
Fast Detection of Robust Features by Reducing the Number of Box Filtering in SURF,
IEICE(E94-D), No. 3, March 2011, pp. 725-728.
WWW Version. 1103
BibRef

Chi, Y.[Yitao], Xiong, Z.[Zhang], Chang, Q.[Qing], Li, C.[Chao], Sheng, H.[Hao],
Improving Hessian Matrix Detector for SURF,
IEICE(E94-D), No. 4, April 2011, pp. 921-925.
WWW Version. 1104
BibRef

Liao, C.[Chao], Wang, G.[Guijin], Miao, Q.[Quan], Wang, Z.G.[Zhi-Guo], Shi, C.[Chenbo], Lin, X.[Xinggang],
DSP-Based Parallel Implementation of Speeded-Up Robust Features,
IEICE(E94-D), No. 4, April 2011, pp. 930-933.
WWW Version. 1104
SURF BibRef

Li, Y.H.[Yu-Hua], Maguire, L.[Liam],
Selecting Critical Patterns Based on Local Geometrical and Statistical Information,
PAMI(33), No. 6, June 2011, pp. 1189-1201.
IEEE DOI Link 1105
Find critical patterns that capture information for all classifiers. Edges, borders of separate classes. BibRef

Cui, C., Ngan, K.N.[King Ngi],
Scale- and Affine-Invariant Fan Feature,
IP(20), No. 6, June 2011, pp. 1627-1640.
IEEE DOI Link 1106
Dealing with surface boundaries. BibRef

Dickscheid, T.[Timo], Schindler, F.[Falko], Förstner, W.[Wolfgang],
Coding Images with Local Features,
IJCV(94), No. 2, September 2011, pp. 154-174.
WWW Version. 1101
BibRef
Earlier: A3, A1, A2:
Detecting interpretable and accurate scale-invariant keypoints,
ICCV09(2256-2263).
IEEE DOI Link 0909
Describing images with local features, consider in terms usually used for coding. Junction type features, scale space version of Forstner detector ( See also Framework For Low Level Feature Extraction, A. ), and spiral feature of Bigun ( See also Structure Feature for Image Processing Applications Based on Spiral Functions, A. ). BibRef

Roscher, R.[Ribana], Schindler, F.[Falko], Förstner, W.[Wolfgang],
High Dimensional Correspondences from Low Dimensional Manifolds: An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms,
Subspace10(334-343).
Springer DOI Link 1109
correspondence on lower dimensional space. BibRef

Gauglitz, S.[Steffen], Höllerer, T.[Tobias], Turk, M.[Matthew],
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking,
IJCV(94), No. 3, September 2011, pp. 335-360.
WWW Version.
WWW Version. 1101
Dataset, Tracking. Present a dataset with ground truth for evaluation. And evaluation of camera tracking. BibRef

Olague, G.[Gustavo], Trujillo, L.[Leonardo],
Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming,
IVC(29), No. 7, June 2011, pp. 484-498.
Elsevier DOI Link
WWW Version. 1101
BibRef
Earlier: A2, A1:
Scale Invariance for Evolved Interest Operators,
EvoIASP07(423-430).
Springer DOI Link 0704
BibRef
Earlier: A2, A1:
Using Evolution to Learn How to Perform Interest Point Detection,
ICPR06(I: 211-214).
IEEE DOI Link 0609
Interest points; Computer assisted design; Evolutionary computation; Genetic programming; Evolutionary computer vision BibRef

Trujillo, L.[Leonardo], Olague, G.[Gustavo], Fernandez, F., Lutton, E.,
Evolutionary feature selection for probabilistic object recognition, novel object detection and object saliency estimation using GMMs,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

Li, Z.C.[Zhi-Cheng], Itti, L.,
Saliency and Gist Features for Target Detection in Satellite Images,
IP(20), No. 7, July 2011, pp. 2017-2029.
IEEE DOI Link 1107
BibRef

Robins, V., Wood, P.J., Sheppard, A.P.,
Theory and Algorithms for Constructing Discrete Morse Complexes from Grayscale Digital Images,
PAMI(33), No. 8, August 2011, pp. 1646-1658.
IEEE DOI Link 1107
Each cell of Morse complex corresponds to critical point in level set. BibRef

He, X.[Xin], Jing, H.[Huiyun], Han, Q.[Qi], Niu, X.[Xiamu],
A Novel Bayes' Theorem-Based Saliency Detection Model,
IEICE(E94-D), No. 12, December 2011, pp. 2545-2548.
WWW Version. 1112
BibRef

Ehsan, S.[Shoaib], Kanwal, N.[Nadia], Clark, A.F.[Adrian F.], McDonald-Maier, K.D.[Klaus D.],
An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves,
IP(21), No. 1, January 2012, pp. 297-304.
IEEE DOI Link 1112
BibRef
Earlier:
Measuring the Coverage of Interest Point Detectors,
ICIAR11(I: 253-261).
Springer DOI Link 1106
BibRef

Kanwal, N.[Nadia], Ehsan, S.[Shoaib], Clark, A.F.[Adrian F.],
Are Performance Differences of Interest Operators Statistically Significant?,
CAIP11(II: 429-436).
Springer DOI Link 1109
Evaluation, Interest Points. BibRef

Beckouche, S.[Simon], Leprince, S.[Sebastien], Sabater, N.[Neus], Ayoub, F.[Francois],
Robust outliers detection in image point matching,
CVRSE11(180-187).
IEEE DOI Link 1201
for registration. tie-point detection. BibRef

Jiang, J.[Jinwei], Yilmaz, A.[Alper],
Good features to track: A view geometric approach,
IWMV11(72-79).
IEEE DOI Link 1201
BibRef

Leutenegger, S.[Stefan], Chli, M.[Margarita], Siegwart, R.Y.[Roland Y.],
BRISK: Binary Robust invariant scalable keypoints,
ICCV11(2548-2555).
IEEE DOI Link 1201
Alternative to SURF, faster computation. BibRef

Culpepper, B.J.[Benjamin J.], Sohl-Dickstein, J.[Jascha], Olshausen, B.A.[Bruno A.],
Building a better probabilistic model of images by factorization,
ICCV11(2011-2017).
IEEE DOI Link 1201
Learn grouping of basic features. BibRef

Rublee, E.[Ethan], Rabaud, V.[Vincent], Konolige, K.G.[Kurt G.], Bradski, G.[Gary],
ORB: An efficient alternative to SIFT or SURF,
ICCV11(2564-2571).
IEEE DOI Link 1201
BibRef

Ambai, M.[Mitsuru], Yoshida, Y.[Yuichi],
CARD: Compact And Real-time Descriptors,
ICCV11(97-104).
IEEE DOI Link 1201
Lookup table approach to feature computation. BibRef

Wang, Z.X.[Zi-Xuan], Zhao, Q.[Qi], Chu, D.[David], Zhao, F.[Feng], Guibas, L.J.[Leonidas J.],
Select informative features for recognition,
ICIP11(2477-2480).
IEEE DOI Link 1201
Select features from objects in database. For a bag of words retrieval. BibRef

Taquet, M.[Maxime], Jacques, L.[Laurent], Macq, B.[Benoit], Jaume, S.[Sylvain],
Compact rotation invariant image descriptors by spectral trimming,
ICIP11(2033-2036).
IEEE DOI Link 1201
BibRef

Liu, X.B.[Xiao-Bing], Zhang, B.[Bo],
Learning complex image patterns with Scale and Shift Invariant Sparse Coding,
ICIP11(1225-1228).
IEEE DOI Link 1201
BibRef

Chao, J.S.[Jian-Shu], Steinbach, E.G.[Eckehard G.],
Preserving SIFT features in JPEG-encoded images,
ICIP11(301-304).
IEEE DOI Link 1201
BibRef

McGuinness, K.[Kevin], McCusker, K.[Kealan], O'Hare, N.[Neil], O'Connor, N.E.[Noel E.],
Efficient Storage and Decoding of SURF Feature Points,
MMMod12(440-451).
Springer DOI Link 1201
BibRef

Medathati, N.V.K.[N.V. Kartheek], Sivaswamy, J.[Jayanthi],
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Ivasic-Kos, M., Poscic, P., Pavlic, M.,
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EUVIP10(214-219).
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Map low-level features to high-level semantics. BibRef

Gauglitz, S.[Steffen], Turk, M.A.[Matthew A.], Höllerer, T.[Tobias],
Improving Keypoint Orientation Assignment,
BMVC11(xx-yy).
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Ventura, J.[Jonathan], Hollerer, T.[Tobias],
Fast and scalable keypoint recognition and image retrieval using binary codes,
WMVC11(697-702).
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Gat, C.[Christopher], Albu, A.B.[Alexandra Branzan], German, D.[Daniel], Higgs, E.[Eric],
A Comparative Evaluation of Feature Detectors on Historic Repeat Photography,
ISVC11(II: 701-714).
Springer DOI Link 1109
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Mühling, M.[Markus], Ewerth, R.[Ralph], Freisleben, B.[Bernd],
On the Spatial Extents of SIFT Descriptors for Visual Concept Detection,
CVS11(71-80).
Springer DOI Link 1109
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Mok, S.J.[Seung Jun], Jung, K.[Kyungboo], Ko, D.W.[Dong Wook], Lee, S.H.[Sang Hwa], Choi, B.U.[Byung-Uk],
SERP: SURF Enhancer for Repeated Pattern,
ISVC11(II: 578-587).
Springer DOI Link 1109
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Chavez, A.[Aaron], Gustafson, D.[David],
Color-Based Extensions to MSERs,
ISVC11(II: 358-366).
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Maximally Stable Extremal Regions BibRef

Xu, W.Y.[Wan-Ying], Huang, X.S.[Xin-Sheng], Li, X.W.[Xing-Wei], Zhang, Y.[Ying], Zhang, J.[Jie], Zhang, W.[Wei],
An affine invariant interest point and region detector based on Gabor filters,
ICARCV10(878-883).
IEEE DOI Link 1109
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Reisert, M.[Marco], Skibbe, H.[Henrik],
Steerable Deconvolution Feature Detection as an Inverse Problem,
DAGM11(326-335).
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Steerable filters. BibRef

Shang, M.Y.[Mian-You], Pan, J.[Jing], Pang, Y.[Yanwei], Yuan, Y.[Yuan],
Integrating kAS and SIFT-like Descriptor for Image Description,
ICIG11(533-537).
IEEE DOI Link 1109
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Wang, H.[Han], Teng, P.[Peng], Liang, W.[Wei],
Packed Dense Interest Points for Scene Image Retrieval,
ICIG11(789-794).
IEEE DOI Link 1109
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Sun, Y.C.[Yuan-Chang], Xin, J.[Jack],
Content Adaptive Image Matching by Color-Entropy Segmentation and Inpainting,
CAIP11(II: 471-478).
Springer DOI Link 1109
Blur small, high frequency features before image matching feature extraction. BibRef

Ranzato, M.[Marc'Aurelio], Susskind, J.[Joshua], Mnih, V.[Volodymyr], Hinton, G.[Geoffrey],
On deep generative models with applications to recognition,
CVPR11(2857-2864).
IEEE DOI Link 1106
A gated MRF. Learn probabilistic models on the raw pixels rather than computed features. BibRef

Bruna, J.[Joan], Mallat, S.[Stephane],
Classification with scattering operators,
CVPR11(1561-1566).
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Local descriptor including multiscale and multi-direction co-occurrence information computed with wavelet decompositions. BibRef

Li, X.[Xiong], Lee, T.S.[Tai Sing], Liu, Y.C.[Yun-Cai],
Hybrid generative-discriminative classification using posterior divergence,
CVPR11(2713-2720).
IEEE DOI Link 1106
derive feature maps BibRef

Kurz, D.[Daniel], Himane, S.B.[Selim Ben],
Inertial sensor-aligned visual feature descriptors,
CVPR11(161-166).
IEEE DOI Link 1106
Align features with gravitation force. I.e. not invariant to rotation. BibRef

Brown, M.[Matthew], Susstrunk, S.[Sabine],
Multi-spectral SIFT for scene category recognition,
CVPR11(177-184).
IEEE DOI Link 1106
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Brown, M.[Matthew], Susstrunk, S.[Sabine], Fua, P.[Pascal],
Spatio-chromatic decorrelation by shift-invariant filtering,
WBCV11(27-34).
IEEE DOI Link 1106
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Moreno-Noguer, F.[Francesc],
Deformation and illumination invariant feature point descriptor,
CVPR11(1593-1600).
IEEE DOI Link 1106
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Fan, B.[Bin], Wu, F.C.[Fu-Chao], Hu, Z.Y.[Zhan-Yi],
Aggregating gradient distributions into intensity orders: A novel local image descriptor,
CVPR11(2377-2384).
IEEE DOI Link 1106
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Li, B.[Bing], Xiao, R.[Rong], Li, Z.W.[Zhi-Wei], Cai, R.[Rui], Lu, B.L.[Bao-Liang], Zhang, L.[Lei],
Rank-SIFT: Learning to rank repeatable local interest points,
CVPR11(1737-1744).
IEEE DOI Link 1106
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Kalia, R.[Robin], Lee, K.D.[Keun-Dong], Samir, B.V.R., Je, S.K.[Sung-Kwan], Oh, W.G.[Weon-Geun],
An analysis of the effect of different image preprocessing techniques on the performance of SURF: Speeded Up Robust Features,
FCV11(1-6).
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Le, M.H.[My-Ha], Woo, B.S.[Byung-Seok], Jo, K.H.[Kang-Hyun],
A Comparison of SIFT and Harris conner features for correspondence points matching,
FCV11(1-4).
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Atasoy, S.[Selen], Mateus, D.[Diana], Georgiou, A.[Andreas], Navab, N.[Nassir], Yang, G.Z.[Guang-Zhong],
Wave Interference for Pattern Description,
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compact description of a pattern based on the interference of circular waves. BibRef

Grand-Brochier, M.[Manuel], Tilmant, C.[Christophe], Dhome, M.[Michel],
Method of Interest Points Characterization Based C-HOG Local Descriptor,
ISVC10(III: 219-228).
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Noury, N.[Nicolas], Sur, F.[Frédéric], Berger, M.O.[Marie-Odile],
How to Overcome Perceptual Aliasing in ASIFT?,
ISVC10(I: 231-242).
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Affine-invariant also. Deal with repeating patterns. BibRef

Hsu, C.Y.[Chao-Yung], Lu, C.S.[Chun-Shien], Pei, S.C.[Soo-Chang],
Secure and robust SIFT with resistance to chosen-plaintext attack,
ICIP10(997-1000).
IEEE DOI Link 1009
I.e. SIFT features can be removed, but visual quality isn't lost. BibRef

Lee, W.T.[Wei-Ting], Chen, H.T.[Hwann-Tzong],
Probing the local-feature space of interest points,
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Joly, A.[Alexis],
New local descriptors based on dissociated dipoles,
CIVR07(573-580).
WWW Version. 0707
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Rebai, A.[Ahmed], Joly, A.[Alexis], Boujemaa, N.[Nozha],
Interpretability based interest points detection,
CIVR07(33-40).
WWW Version. 0707
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Dahl, A.L.[Anders Lindbjerg], Aanaes, H.[Henrik], Pedersen, K.S.[Kim Steenstrup],
Finding the Best Feature Detector-Descriptor Combination,
3DIMPVT11(318-325).
IEEE DOI Link 1109
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Aanaes, H.[Henrik], Dahl, A.L.[Anders Lindbjerg], Pedersen, K.S.[Kim Steenstrup],
On Recall Rate of Interest Point Detectors,
3DPVT10(xx-yy).
WWW Version. 1005
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Ma, R.[Rui], Chen, J.[Jian], Su, Z.[Zhong],
MI-SIFT: mirror and inversion invariant generalization for SIFT descriptor,
CIVR10(228-235).
WWW Version. 1007
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Nakayama, H.[Hideki], Harada, T.[Tatsuya], Kuniyoshi, Y.[Yasuo],
Scene Classification Using Generalized Local Correlation,
MVA09(195-).
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Yang, D.[Dayu], Qi, H.R.[Hai-Rong],
An Effective Decentralized Nonparametric Quickest Detection Approach,
ICPR10(2278-2281).
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Janney, P.[Pranam], Geers, G.[Glenn],
IFLT Based Real-Time Framework for Image Matching,
ICPR10(2242-2245).
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Invariant Features of Local Textures (IFLT) BibRef

Bellavia, F.[Fabio], Tegolo, D.[Domenico], Trucco, E.[Emanuele],
Improving SIFT-based Descriptors Stability to Rotations,
ICPR10(3460-3463).
IEEE DOI Link 1008
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Cakir, S.[Serdar], Cetin, A.E.[A. Enis],
Mel-cepstral methods for image feature extraction,
ICIP10(4577-4580).
IEEE DOI Link 1009
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And:
Image Feature Extraction Using 2D Mel-Cepstrum,
ICPR10(674-677).
IEEE DOI Link 1008
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Lai, Z.H.[Zhi-Hui], Jin, Z.[Zhong], Yang, J.[Jian], Wong, W.K.,
Sparse Local Discriminant Projections for Feature Extraction,
ICPR10(926-929).
IEEE DOI Link 1008
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Stuhlsatz, A.[Andre], Lippel, J.[Jens], Zielke, T.[Thomas],
Feature Extraction for Simple Classification,
ICPR10(1525-1528).
IEEE DOI Link 1008
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Carneiro, G.[Gustavo],
A Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors,
ICPR10(3356-3359).
IEEE DOI Link 1008
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Yildiz, O.T.[Olcay Taner],
Feature Extraction from Discrete Attributes,
ICPR10(3915-3918).
IEEE DOI Link 1008
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Wan, M.H.[Ming-Hua], Lai, Z.H.[Zhi-Hui], Jin, Z.[Zhong],
Feature Extraction Based on Class Mean Embedding (CME),
ICPR10(4174-4177).
IEEE DOI Link 1008
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Akman, O.[Oytun], Jonker, P.P.[Pieter P.],
Computing Saliency Map from Spatial Information in Point Cloud Data,
ACIVS10(I: 290-299).
Springer DOI Link 1012
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Rudinac, M.[Maja], Jonker, P.P.[Pieter P.],
Saliency Detection and Object Localization in Indoor Environments,
ICPR10(404-407).
IEEE DOI Link 1008
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Rudinac, M.[Maja], Lenseigne, B.[Boris], Jonker, P.P.[Pieter P.],
Keypoint Extraction and Selection for Object Recognition,
MVA09(191-).
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Paiva, A.R.C.[Antonio R.C.], Tasdizen, T.[Tolga],
Detection of Salient Image Points Using Principal Subspace Manifold Structure,
ICPR10(1389-1392).
IEEE DOI Link 1008
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Bronstein, A.M.[Alexander M.], Bronstein, M.M.[Michael M.],
Spatially-Sensitive Affine-Invariant Image Descriptors,
ECCV10(II: 197-208).
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Pairs of features. BibRef

Engel, D.[David], Curio, C.[Cristobal],
Shape centered interest points for feature grouping,
POCV10(9-16).
IEEE DOI Link 1006
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Liu, D.[David], Zhou, K.S.[Kevin S.], Bernhardt, D.[Dominik], Comaniciu, D.[Dorin],
Search strategies for multiple landmark detection by submodular maximization,
CVPR10(2831-2838).
IEEE DOI Link 1006
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Taylor, G.W.[Graham W.], Spiro, I.[Ian], Bregler, C.[Christoph], Fergus, R.[Rob],
Learning invariance through imitation,
CVPR11(2729-2736).
IEEE DOI Link 1106
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Taylor, G.W.[Graham W.], Fergus, R.[Rob], Le Cun, Y.L.[Yann L.], Bregler, C.[Christoph],
Convolutional Learning of Spatio-temporal Features,
ECCV10(VI: 140-153).
Springer DOI Link 1009
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Zeiler, M.D.[Matthew D.], Taylor, G.W.[Graham W.], Fergus, R.[Rob],
Adaptive deconvolutional networks for mid and high level feature learning,
ICCV11(2018-2025).
IEEE DOI Link 1201
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Zeiler, M.D.[Matthew D.], Krishnan, D.[Dilip], Taylor, G.W.[Graham W.], Fergus, R.[Rob],
Deconvolutional networks,
CVPR10(2528-2535).
IEEE DOI Link 1006
Mid-level features beyond simple edges. BibRef

Marimon, D.[David], Bonnin, A.[Arturo], Adamek, T.[Tomasz], Gimeno, R.[Roger],
DARTs: Efficient scale-space extraction of DAISY keypoints,
CVPR10(2416-2423).
IEEE DOI Link 1006
See also Picking the best DAISY. BibRef

Imade, O.O.[Osayamen O.], Chandler, D.M.[Damon M.],
Image-adaptive contrast and entropy based model of regions of visible distortion,
Southwest10(65-68).
IEEE DOI Link 1005
Predict distortions due to changes in wavelets. BibRef

Zhang, X.[Xu], Zhang, X.Q.[Xiang-Qun], Cao, J.[Jian], Liu, Y.S.[Yu-Shu],
Multilinear Nonparametric Feature Analysis,
ACCV09(II: 576-585).
Springer DOI Link 0909
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Yu, Y.[Yinan], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
A Harris-Like Scale Invariant Feature Detector,
ACCV09(II: 586-595).
Springer DOI Link 0909
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Li, Y.[Yin], Zhou, Y.[Yue], Yan, J.[Junchi], Niu, Z.B.[Zhi-Bin], Yang, J.[Jie],
Visual Saliency Based on Conditional Entropy,
ACCV09(I: 246-257).
Springer DOI Link 0909
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Yan, H.[Hui], Yang, W.K.[Wan-Kou], Yang, J.[Jian], Yang, J.Y.[Jing-Yu],
Discriminant feature extraction based on center distance,
ICIP09(1249-1252).
IEEE DOI Link 0911
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Ayadi, W., Benazza-Benyahia, A.,
Wavelet based statistical detection of salient points by the exploitation of the interscale redundancies,
ICIP09(1001-1004).
IEEE DOI Link 0911
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Huynh, D.Q., Saini, A., Liu, W.[Wei],
Evaluation of three local descriptors on low resolution images for robot navigation,
IVCNZ09(113-118).
IEEE DOI Link 0911
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Cao, Y.P.[Yan-Peng], McDonald, J.[John],
Viewpoint invariant features from single images using 3D geometry,
WACV09(1-6).
IEEE DOI Link 0912
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Hansen, P., Boles, W., Corke, P.,
Spherical Diffusion for Scale-Invariant Keypoint Detection in Wide-Angle Images,
DICTA08(525-532).
IEEE DOI Link 0812
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Shi, F.H.[Fan-Huai], Huang, X.X.[Xi-Xia], Duan, Y.[Ye],
Robust Harris-Laplace Detector by Scale Multiplication,
ISVC09(I: 265-274).
Springer DOI Link 0911
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Egawa, A.[Akira], Shirayama, S.[Susumu],
Generation of an Importance Map for Visualized Images,
ISVC09(I: 135-146).
Springer DOI Link 0911
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Mrozek, M., Zelawski, M., Krajniak, A., Gryglewski, A., Han, S.[Sejin],
Homological Methods in Feature Extraction of Multidimensional Images,
CISP09(1-5).
IEEE DOI Link 0910
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Zhang, J.[Jieyu], Chen, Q.A.[Qi-Ang], Bai, X.J.[Xiao-Jing], Sun, Q.S.[Quan-Sen], Sun, H.J.[Huai-Jiang], Xia, D.S.[De-Shen],
An Advanced Harris-Laplace Feature Detector with High Repeatability,
CISP09(1-5).
IEEE DOI Link 0910
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Zeisl, B.[Bernhard], Georgel, P.F.[Pierre Fite], Schweiger, F.[Florian], Steinbach, E.[Eckehard], Navab, N.[Nassir],
Estimation of Location Uncertainty for Scale Invariant Features Points,
BMVC09(xx-yy).
PDF Version. Video:
WWW Version. 0909
Evaluation. See also Recovering the full pose from a single keyframe. BibRef

Evans, C.[Christopher],
Notes on the opensurf library,
Technical ReportCSTR-09-001, University of Bristol, January 2009.
PDF Version. 0911
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Cobb, J.T., Stack, J.R.,
In Situ Adaptive Feature Extraction for Underwater Target Classification,
AIPR07(42-47).
IEEE DOI Link 0710
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Papalazarou, C.[Chrysi], Rongen, P.M.J.[Peter M.J.], de With, P.H.N.[Peter H.N.],
Evaluation of Interest Point Detectors for Non-planar, Transparent Scenes,
ACIVS09(1-11).
Springer DOI Link 0909
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Kootstra, G.[Gert], Bergstrom, N.[Niklas], Kragic, D.[Danica],
Using Symmetry to Select Fixation Points for Segmentation,
ICPR10(3894-3897).
IEEE DOI Link 1008
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Kootstra, G.[Gert], de Jong, S.[Sjoerd], Schomaker, L.R.B.[Lambert R.B.],
Using Local Symmetry for Landmark Selection,
CVS09(94-103).
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Use local symmetry to select interest points for SLAM. BibRef

Kootstra, G., Nederveen, A., de Boer, B.,
Paying Attention to Symmetry,
BMVC08(xx-yy).
PDF Version. 0809
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Comer, H.T.[H. Thomson], Draper, B.A.[Bruce A.],
Interest Point Stability Prediction,
CVS09(315-324).
Springer DOI Link 0910
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Liu, J.[Jian], Liu, Y.C.[Yun-Cai],
A Model for Saliency Detection Using NMFsc Algorithm,
CAIP09(301-308).
Springer DOI Link 0909
Non-negative Matrix Factorization sparseness constraints. BibRef

Garcia-Diaz, A.[Antón], Fdez-Vidal, X.R.[Xosé R.], Pardo, X.M.[Xosé M.], Dosil, R.[Raquel],
Decorrelation and Distinctiveness Provide with Human-Like Saliency,
ACIVS09(343-354).
Springer DOI Link 0909
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And:
Saliency Based on Decorrelation and Distinctiveness of Local Responses,
CAIP09(261-268).
Springer DOI Link 0909
Distinctiveness BibRef

Jamshy, S.[Shahar], Krupka, E.[Eyal], Yeshurun, Y.[Yehezkel],
Reducing Keypoint Database Size,
CIAP09(113-122).
Springer DOI Link 0909
BibRef

Penas, M.[Marta], Shapiro, L.G.[Linda G.],
A Color-Based Interest Operator,
CIAP09(965-974).
Springer DOI Link 0909
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Strecha, C.[Christoph], Lindner, A.[Albrecht], Ali, K.[Karim], Fua, P.[Pascal],
Training for Task Specific Keypoint Detection,
DAGM09(151-160).
Springer DOI Link 0909
Train interest point detector for only the task specific ones. BibRef

Cordes, K.[Kai], Topic, O.[Oliver], Scherer, M.[Manuel], Klempt, C.[Carsten], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Classification of Atomic Density Distributions Using Scale Invariant Blob Localization,
ICIAR11(I: 161-172).
Springer DOI Link 1106
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Cordes, K.[Kai], Müller, O.[Oliver], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape,
ISVC10(I: 264-275).
Springer DOI Link 1011
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Earlier:
HALF-SIFT: High-Accurate Localized Features for SIFT,
FeatureSpace09(31-38).
IEEE DOI Link 0906
See also NIL. BibRef

Gong, L.[Liyu], Wang, T.J.[Tian-Jiang], Liu, F.[Fang],
Shape of Gaussians as feature descriptors,
CVPR09(2366-2371).
IEEE DOI Link 0906
One of the general group of SOSPDF (shape of a signal's probability density function) features. BibRef

Chandrasekhar, V.[Vijay], Takacs, G.[Gabriel], Chen, D.[David], Tsai, S.[Sam], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
CHoG: Compressed histogram of gradients A low bit-rate feature descriptor,
CVPR09(2504-2511).
IEEE DOI Link 0906
Store and transmit the features used in matching. BibRef

Zhang, Y.M.[Yi-Meng], Chen, T.H.[Tsu-Han],
Efficient Kernels for identifying unbounded-order spatial features,
CVPR09(1762-1769).
IEEE DOI Link 0906
generally spatial features of 2 or 3 features are used. Use high order spatial features. BibRef

Tang, F.[Feng], Lim, S.H.[Suk Hwan], Chang, N.L.[Nelson L.],
An improved local feature descriptor via soft binning,
ICIP10(861-864).
IEEE DOI Link 1009
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Tang, F.[Feng], Lim, S.H.[Suk Hwan], Chang, N.L.[Nelson L.], Tao, H.[Hai],
A novel feature descriptor invariant to complex brightness changes,
CVPR09(2631-2638).
IEEE DOI Link 0906
BibRef

Lee, W.T.[Wei-Ting], Chen, H.T.[Hwann-Tzong],
Histogram-based interest point detectors,
CVPR09(1590-1596).
IEEE DOI Link 0906
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Bruce, N.D.B.[Neil D.B.], Kornprobst, P.[Pierre],
Harris corners in the real world: A principled selection criterion for interest points based on ecological statistics,
CVPR09(2160-2167).
IEEE DOI Link 0906
BibRef

Priese, L.[Lutz], Schmitt, F.[Frank], Hering, N.[Nils],
Grouping of Semantically Similar Image Positions,
SCIA09(726-734).
Springer DOI Link 0906
Use Scale Invariant Feature Transformation (SIFT). And Color-Structure-Code segmentation. ( See also 3D-Color-Structure-Code: A Hierarchical Region Growing Method for Segmentation of 3D-Images. ). BibRef

Harding, P.[Patrick], Robertson, N.M.[Neil M.],
A Comparison of Feature Detectors with Passive and Task-Based Visual Saliency,
SCIA09(716-725).
Springer DOI Link 0906
Investigates the coincidence between six interest point detection methods (SIFT ( See also Distinctive Image Features from Scale-Invariant Keypoints. ), MSER (Maximally Stable Extremal Region) ( See also Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. ), Harris-Laplace, SURF ( See also Speeded-Up Robust Features (SURF). ), FAST and Kadir-Brady Saliency ( See also Affine Invariant Salient Region Detector, An. )) BibRef

Cui, Y.[Yan], Hasler, N.[Nils], Thormählen, T.[Thorsten], Seidel, H.P.[Hans-Peter],
Scale Invariant Feature Transform with Irregular Orientation Histogram Binning,
ICIAR09(258-267).
Springer DOI Link 0907
SIFT (Scale Invariant Feature Transform) Irregular grid approach. BibRef

Gur, Y.[Yaniv], Sochen, N.A.[Nir A.],
Non-Abelian invariant feature detection,
ICPR08(1-4).
IEEE DOI Link 0812
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Park, J.H.[Jae-Han], Park, K.W.[Kyung-Wook], Baeg, S.H.[Seung-Ho], Baeg, M.H.[Moon-Hong],
pi-SIFT: A photometric and Scale Invariant Feature Transform,
ICPR08(1-4).
IEEE DOI Link 0812
SIFT: See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Langer, M., Kuhnert, K.D.,
A new hierarchical approach in robust real-time image feature detection and matching,
ICPR08(1-4).
IEEE DOI Link 0812
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Abdel-Hakim, A.E.[Alaa E.], Farag, A.A.[Aly A.],
A novel stability quantification of detected interest points in scale-space,
ICPR08(1-4).
IEEE DOI Link 0812
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Viksten, F.[Fredrik], Nordberg, K.[Klas], Kalms, M.[Mikael],
Point-of-interest detection for range data,
ICPR08(1-4).
IEEE DOI Link 0812
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Li, Q.[Qi], Xia, Z.H.[Zhong-Hang],
Detecting image points of diverse imbalance,
ICIP08(2592-2595).
IEEE DOI Link 0810
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Pérez-Carrasco, J.A.[José-Antonio], Serrano-Gotarredona, C.[Carmen], Acha-Piñero, B.[Begoña], Serrano-Gotarredona, T.[Teresa], Linares-Barranco, B.[Bernabe],
Advanced Vision Processing Systems: Spike-Based Simulation and Processing,
ACIVS09(640-651).
Springer DOI Link 0909
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Perez-Carrasco, J.A., Serrano, C., Acha, B., Serrano-Gotarredona, T., Linares-Barranco, B.,
Event based vision sensing and processing,
ICIP08(1392-1395).
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Spike events. BibRef

Scotney, B.W.[Bryan W.], Coleman, S.A.[Sonya A.], Gardiner, B.[Bryan],
Biologically motivated feature extraction using the spiral architecture,
ICIP11(221-224).
IEEE DOI Link 1201
BibRef
Earlier: A2, A1, A3:
Biologically Motivated Feature Extraction,
CIAP11(I: 605-615).
Springer DOI Link 1109
BibRef
Earlier: A2, A1, A3:
Coarse Scale Feature Extraction Using the Spiral Architecture Structure,
ICPR10(2370-2373).
IEEE DOI Link 1008
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Kerr, D.[Dermot], Coleman, S.A.[Sonya A.], Scotney, B.W.[Bryan W.],
A Finite Element Blob Detector for Robust Features,
CIAP11(I: 504-513).
Springer DOI Link 1109
BibRef
Earlier:
FESID: Finite Element Scale Invariant Detector,
CIAP09(72-81).
Springer DOI Link 0909
BibRef
Earlier: A1, A3, A2:
Interest point detection on incomplete images,
ICIP08(817-820).
IEEE DOI Link 0810
See also Space Variant Gradient Based Corner Detector for Sparse Omnidirectional Images, A. BibRef

Gupta, R.[Raj], Patil, H.[Harshal], Mittal, A.[Anurag],
Robust order-based methods for feature description,
CVPR10(334-341).
IEEE DOI Link 1006
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Gupta, R.[Raj], Mittal, A.[Anurag],
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor,
ECCV08(II: 265-277).
Springer DOI Link 0810
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Mata, E., Hernandez, M.A., Perez, L., Cardenal, J.,
Low Cost Automatized System for Control Points Capture in Close Range Photogrammetry,
ISPRS08(B5: 107 ff).
PDF Version. 0807
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Jazayeri, I., Fraser, C.S.,
Interest Operators in Close-Range Object Reconstruction,
ISPRS08(B5: 69 ff).
PDF Version. 0807
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Kokkinos, I.[Iasonas], Yuille, A.L.[Alan L.],
Scale invariance without scale selection,
CVPR08(1-8).
IEEE DOI Link 0806
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Cheng, B.S.[Bang-Sheng],
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local image structure BibRef

Kozakaya, T.[Tatsuo], Shibata, T.[Tomoyuki], Takeguchi, T.[Tomoyuki], Nishiura, M.[Masahide],
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CVPR08(1-6).
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Interest features using global structure. BibRef

Pinneli, S.[Srivani], Chandler, D.M.[Damon M.],
A Bayesian approach to predicting the perceived interest of objects,
ICIP08(2584-2587).
IEEE DOI Link 0810
BibRef
Earlier:
Predicting the Perceived Interest of Object in Images,
Southwest08(137-140).
IEEE DOI Link 0803
Not really interest operator. BibRef

Tuytelaars, T.[Tinne], Schmid, C.[Cordelia],
Vector Quantizing Feature Space with a Regular Lattice,
ICCV07(1-8).
IEEE DOI Link 0710
Hashing to reduce space and not store empty bins in representation space. BibRef

Guo, Y.D.[Yan-Dong], Gu, X.D.[Xiao-Dong], Chen, Z.B.[Zhi-Bo], Chen, Q.Q.[Qu-Qing], Wang, C.[Charles],
Denoising Saliency Map for Region of Interest Extraction,
Visual07(205-215).
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Hall, D., Leibe, B., Schiele, B.,
Saliency of Interest Points under Scale Changes,
BMVC02(Poster Session). 0208
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Crosier, M.S.[Michael S.], Griffin, L.D.[Lewis D.],
Zipf's Law in Image Coding Schemes,
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Le Cun, Y.L., Chopra, S., Ranzato, M., Huang, F.J.,
Energy-Based Models in Document Recognition and Computer Vision,
ICDAR07(337-341).
IEEE DOI Link 0709
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Ranzato, M., Le Cun, Y.L.,
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images,
ICDAR07(1213-1217).
IEEE DOI Link 0709
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Moreno, P.[Plinio], Marín-Jiménez, M.J.[Manuel J.], Bernardino, A.[Alexandre], Santos-Victor, J.[José], de la Blanca, N.P.[Nicolás Pérez],
A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX,
IbPRIA07(I: 515-522).
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Schügerl, P.[Philipp], Sorschag, R.[Robert], Bailer, W.[Werner], Thallinger, G.[Georg],
Object Re-detection Using SIFT and MPEG-7 Color Descriptors,
MCAM07(305-314).
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Garcia-Tubio, M.P.[Manuel Pascual], Wildenauer, H.[Horst], Szumilas, L.[Lech],
Combining Geometry and Local Appearance for Object Detection,
ICPR10(4024-4027).
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Lefakis, L.[Leonidas], Wildenauer, H.[Horst], Garcia-Tubio, M.P.[Manuel Pascual], Szumilas, L.[Lech],
Boosted Edge Orientation Histograms for Grasping Point Detection,
ICPR10(4072-4076).
IEEE DOI Link 1008
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And:
Image-Based Grasping Point Detection Using Boosted Histograms of Oriented Gradients,
ICIAR10(I: 200-209).
Springer DOI Link 1006
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Stöttinger, J.[Julian], Donner, R.[René], Szumilas, L.[Lech], Hanbury, A.[Allan],
Evaluation of Gradient Vector Flow for Interest Point Detection,
ISVC08(I: 338-348).
Springer DOI Link 0812
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Szumilas, L.[Lech], Wildenauer, H.[Horst], Hanbury, A.[Allan], Donner, R.[René],
Radial Edge Configuration for Semi-local Image Structure Description,
ISVC07(I: 633-643).
Springer DOI Link 0711
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Szumilas, L.[Lech], Donner, R.[Rene], Langs, G.[Georg], Hanbury, A.[Allan],
Local Structure Detection with Orientation-invariant Radial Configuration,
CVPR07(1-7).
IEEE DOI Link 0706
Feature, interest points. BibRef

Fraundorfer, F.[Friedrich], Winter, M.[Martin], Bischof, H.[Horst],
MSCC: Maximally Stable Corner Clusters,
SCIA05(45-54).
Springer DOI Link 0506
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Yue, S.C.[Si-Cong], Wang, Q.[Qing], Zhao, R.C.[Rong-Chun],
Feature Points Detection Using Combined Character Along Principal Orientation,
MIRAGE07(128-138).
Springer DOI Link 0703
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Reiterer, A., Eiter, T.,
A Distance-Based Method for the Evaluation of Interest point Detection Algorithms,
ICIP06(2745-2748).
IEEE DOI Link 0610
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Remondino, F.[Fabio],
Detectors and Descriptors for Photogrammetric Applications,
PCV06(xx-yy).
PDF Version. 0609
Interest operators for aerial iamges. BibRef

Wu, L.[Liang], Neskovic, P.[Predrag], Cooper, L.N.[Leon N.],
Biologically Inspired Hierarchical Model for Feature Extraction and Localization,
ICPR06(I: 259-262).
IEEE DOI Link 0609
Hierarchical search to find a feature. BibRef

Robles-Kelly, A.[Antonio], Goecke, R.[Roland],
A Wavelet-Based Approach to Image Feature Stability Assessment,
BP06(25).
IEEE DOI Link 0609
Find the stable features for matching. BibRef

Vedaldi, A.[Andrea], Favaro, P.[Paolo], Grisan, E.[Enrico],
Boosting Invariance and Efficiency in Supervised Learning,
ICCV07(1-8).
IEEE DOI Link 0710
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Vidal, R.[Rene], Favaro, P.[Paolo],
DynamicBoost: Boosting Time Series Generated by Dynamical Systems,
ICCV07(1-6).
IEEE DOI Link 0710
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Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Local Features, All Grown Up,
CVPR06(II: 1753-1760).
IEEE DOI Link 0606
BibRef

Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions,
ECCV06(II: 360-373).
Springer DOI Link 0608
BibRef
Earlier:
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes,
ICCV05(II: 1474-1481).
IEEE DOI Link 0510
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Chai, D.F.[Deng-Feng], Peng, Q.S.[Qun-Sheng],
Image Feature Detection as Robust Model Fitting,
ACCV06(II:673-682).
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RANSAC applied to detection. BibRef

Grabner, M.[Michael], Grabner, H.[Helmut], Bischof, H.[Horst],
Fast Approximated SIFT,
ACCV06(I:918-927).
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Regions of interest. SIFT: See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Stanski, A.[Adam], Hellwich, O.[Olaf],
Spiders as Robust Point Descriptors,
DAGM05(262).
Springer DOI Link 0509
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Bourgeat, P., Meriaudeau, F., Gorria, P., Tobin, K.W., Truchetet, F.,
Features extraction on complex images,
ICIP04(I: 219-222).
IEEE DOI Link 0505
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Abdeljaoued, Y., Ebrahimi, T.,
Feature point extraction using scale-space representation,
ICIP04(V: 3053-3056).
IEEE DOI Link 0505
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Jonsson, E.[Erik], Felsberg, M.[Michael],
Reconstruction of Probability Density Functions from Channel Representations,
SCIA05(491-500).
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Felsberg, M.[Michael], Granlund, G.H.[Gösta H.],
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Interest points. BibRef

Faille, F.,
Stable Interest Point Detection under Illumination Changes Using Colour Invariants,
BMVC05(xx-yy).
HTML Version. 0509
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Earlier:
A fast method to improve the stability of interest point detection under illumination changes,
ICIP04(IV: 2673-2676).
IEEE DOI Link 0505
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Khachaturov, G.[Georgii], Moncayo-Munos, R.,
Synthetic image of multiresolution sketch leads to new features,
3DPVT04(872-879).
IEEE Abstract. 0412
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Eriksson, A.P., Astrom, K.,
Robustness and specificity in object detection,
ICPR04(III: 87-90).
IEEE DOI Link 0409
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Hall, P.M., Owen, M.,
Learning to detect low-level features,
BMVC04(xx-yy).
HTML Version. 0508
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Hall, P.M., Owen, M., Collomosse, J.P.,
A trainable low-level feature detector,
ICPR04(I: 708-711).
IEEE DOI Link 0409
BibRef

Kapoor, A., Picard, R.W., Ivanov, Y.A.,
Probabilistic combination of multiple modalities to detect interest,
ICPR04(III: 969-972).
IEEE DOI Link 0409
BibRef

Toews, M.[Matthew], Wells, W.[William],
SIFT-Rank: Ordinal description for invariant feature correspondence,
CVPR09(172-177).
IEEE DOI Link 0906
BibRef

Toews, M., Arbel, T.,
Entropy-of-likelihood feature selection for image correspondence,
ICCV03(1041-1047).
IEEE DOI Link 0311
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Herpers, R., Sommer, G., Michaelis, M., Witta, L.,
Context Based Detection of Keypoints and Features in Eye Regions,
ICPR96(II: 23-28).
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(GSF, D) BibRef

Lacey, A.J., Thacker, N.A., Seed, N.L.,
Smart Feature Detection using an Invariance Network Architecture,
BMVC95(xx-yy).
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Neural network trained to detect features for matching. BibRef

King, A.P., Wilson, R.,
Invariant and equivariant bilinear operations for image feature detection,
ICIP94(I: 929-933).
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Thorpe, C.E.,
An Analysis of Interest Operators for FIDO,
CVWS84(135-140). BibRef 8400

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Region of Interest Detection, ROI, Salient Regions .