7.1.7 Region of Interest Detection, ROI, Interest Operators, Interest Points

Privitera, C.M.[Claudio M.], Stark, L.W.[Lawrence W.],
Evaluating Image Processing Algorithms that Predict Regions of Interest,
PRL(19), No. 11, 30 September 1998, pp. 1037-1043. 9811
BibRef

Privitera, C.M.[Claudio M.], Stark, L.W.[Lawrence W.],
Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations,
PAMI(22), No. 9, September 2000, pp. 970-982.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0010
How to compute interest points that are like human interest points (using eye tracking). 10 different possibilities. BibRef

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

Marchette, D.J., Solka, J.L., Guidry, R., Green, J.,
The advanced distributed region of interest tool,
PR(31), No. 12, December 1998, pp. 2103-2118.
WWW Version. BibRef 9812

di Gesu, V., Valenti, C., Strinati, L.,
Local Operators to Detect Regions of Interest,
PRL(18), No. 11-13, November 1997, pp. 1077-1081. 9806
BibRef

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
HTML Version. 0009
BibRef

Privitera, C.M., Azzariti, M., Stark, L.W.,
Locating regions-of-interest for the Mars Rover expedition,
JRS(21), No. 17, November 2000, pp. 3327-3347. 0102
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.
HTML Version. 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. IEEE Top Reference. 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. IEEE Top Reference. 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

Heidemann, G.[Gunther],
Focus-of-Attention from Local Color Symmetries,
PAMI(26), No. 7, July 2004, pp. 817-830.
IEEE Abstract. IEEE Top Reference. 0406
Extend gray-value based symmetry map ( See also Context-Free Attentional Operators: The Generalized Symmetry Transform. ). Find feature points. BibRef

Sinzinger, E.D.[Eric D.],
Radial segmentation,
PRL(25), No. 12, September 2004, pp. 1337-1350.
WWW Version. 0409
To partition circular regions. See also model-based approach to junction detection using radial energy, A. 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. IEEE Top Reference. 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
BibRef

Mikolajczyk, K.[Krystian], Tuytelaars, T.[Tinne], Schmid, C., Zisserman, A., Matas, J.G., Schaffalitzky, F., Kadir, T., Van Gool, L.J.,
A Comparison of Affine Region Detectors,
IJCV(65), No. 1-2, November 2005, pp. 43-72.
Springer DOI Link 0604
Six types of detectors are included: detectors based on affine normalization around Harris ( See also Scale and Affine Invariant Interest Point Detectors. ); ( See also Automated location matching in movies. ) and Hessian points ( See also Scale and Affine Invariant Interest Point Detectors. ), MSER: Maximally stable extremal regions ( See also Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. ); an edge-based region detector (Tuytelaars and Van Gool, 1999) and Intensity extrema ( See also Matching Widely Separated Views Based on Affine Invariant Regions. ), Salient regions ( See also Affine Invariant Salient Region Detector, An. ). 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. 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

Hua, G.[Gang], Liu, Z.C.[Zi-Cheng], Zhang, Z.Y.[Zheng-You], Wu, Y.[Ying],
Iterative Local-Global Energy Minimization for Automatic Extraction of Objects of Interest,
PAMI(28), No. 10, October 2006, pp. 1701-1706.
IEEE DOI Link 0609
Combine global with standard local regions. BibRef

Ko, B.C.[Byoung Chul], Nam, J.Y.[Jae-Yeal],
Object-of-interest image segmentation based on human attention and semantic region clustering,
JOSA-A(23), No. 10, October 2006, pp. 2462-2470.
WWW Version. 0610
BibRef

Moreels, P.[Pierre], Perona, P.[Pietro],
Evaluation of Features Detectors and Descriptors Based on 3D Objects,
IJCV(73), No. 3, July 2007, pp. 263-284.
Springer DOI Link 0703
BibRef
Earlier: ICCV05(I: 800-807).
IEEE DOI Link 0510
For 3-D, viewpoint change results in major change in features. BibRef

Moreels, P.[Pierre], Perona, P.[Pietro],
A Probabilistic Cascade of Detectors for Individual Object Recognition,
ECCV08(III: 426-439).
Springer DOI Link 0810
BibRef

Kovacs, L.[Levente], Sziranyi, T.[Tamas],
Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest,
PAMI(29), No. 6, June 2007, pp. 1080-1085.
IEEE DOI Link 0704
Find the region of interest -- more than just segmentation of the object. BibRef

Caron, Y., Makris, P., Vincent, N.,
Use of power law models in detecting region of interest,
PR(40), No. 9, September 2007, pp. 2521-2529.
WWW Version. 0705
Region of interest; Zipf law; Inverse Zipf law; Image encoding 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. IEEE Top Reference. 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], 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

Carneiro, G., Jepson, A.D.,
Multi-scale phase-based local features,
CVPR03(I: 736-743).
IEEE Abstract. IEEE Top Reference. 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

Tahoces, P.G.[Pablo G.], Varela, J.R.[J. Ramon], Lado, M.J.[Maria J.], Souto, M.[Miguel],
Image compression: Maxshift ROI encoding options in JPEG2000,
CVIU(109), No. 2, February 2008, pp. 139-145.
WWW Version. 0711
Image coding; JPEG2000; Region of interest; Wavelet coding 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

Heikkilä, M.[Marko], Pietikäinen, M.[Matti], Schmid, C.[Cordelia],
Description of interest regions with local binary patterns,
PR(42), No. 3, March 2009, pp. 425-436.
WWW Version. 0811
BibRef
Earlier:
Description of Interest Regions with Center-Symmetric Local Binary Patterns,
ICCVGIP06(58-69).
Springer DOI Link 0612
Region description; Region detection; Local binary patterns; SIFT; Image matching; Object recognition 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.[Canlin], 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

Koroutchev, K.[Kostadin], Korutcheva, E.[Elka],
Detecting the most unusual part of two- and three-dimensional digital images,
PR(42), No. 8, August 2009, pp. 1684-1692.
Elsevier DOI Link
WWW Version. 0904
BibRef
Earlier:
Detecting the Most Unusual Part of a Digital Image,
IWCIA08(xx-yy).
Springer DOI Link 0804
Image processing; Image statistics; Image recognition 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.,
n-SIFT: n-Dimensional Scale Invariant Feature Transform,
IP(18), No. 9, September 2009, pp. 2012-2021.
IEEE DOI Link 0909
BibRef

Chi, M.C.[Ming-Chieh], Yeh, C.H.[Chia-Hung], Chen, M.J.[Mei-Juan],
Robust Region-of-Interest Determination Based on User Attention Model Through Visual Rhythm Analysis,
CirSysVideo(19), No. 7, July 2009, pp. 1025-1038.
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

Vazquez-Martin, R., Marfil, R., Nunez, P., Bandera, A., Sandoval, F.,
A novel approach for salient image regions detection and description,
PRL(30), No. 16, 1 December 2009, pp. 1464-1476,.
Elsevier DOI Link
WWW Version. 0911
Visual landmarks; Irregular pyramids; Salient image regions detection; Kernel-based description BibRef

Marfil, R., Molina-Tanco, L., Bandera, A., Sandoval, F.,
The Construction of Bounded Irregular Pyramids with a Union-Find Decimation Process,
GbRPR07(307-318).
Springer DOI Link 0706
BibRef

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
BibRef

Kootstra, G.[Gert], de Jong, S.[Sjoerd], Schomaker, L.R.B.[Lambert R.B.],
Using Local Symmetry for Landmark Selection,
CVS09(94-103).
Springer DOI Link 0910
Use local symmetry to select interest points for SLAM. BibRef

Comer, H.T.[H. Thomson], Draper, B.A.[Bruce A.],
Interest Point Stability Prediction,
CVS09(315-324).
Springer DOI Link 0910
BibRef

Shabani, H.[Hossein], Clausi, D.A.[David A.], Zelek, J.S.[John S.],
Towards a Robust Spatio-Temporal Interest Point Detection for Human Action Recognition,
CRV09(237-243).
IEEE DOI Link 0905
BibRef

Kawewong, A.[Aram], Tangruamsub, S.[Sirinart], Hasegawa, O.[Osamu],
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

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
BibRef
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
BibRef

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

Palenichka, R.M.[Roman M.], Zaremba, M.B.[Marek B.],
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

Cordes, K.[Kai], Muller, O.[Oliver], Rosenhahn, B.[Bodo], Ostermann, J.[Jorn],
HALF-SIFT: High-Accurate Localized Features for SIFT,
FeatureSpace09(31-38).
IEEE DOI Link 0906
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

Winder, S.[Simon], Hua, G.[Gang], Brown, M.[Matthew],
Picking the best DAISY,
CVPR09(178-185).
IEEE DOI Link 0906
For general 2-D basic features. BibRef

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
BibRef

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

Huang, T.H.[Tz-Huan], Cheng, K.Y.[Kai-Yin], Chuang, Y.Y.[Yung-Yu],
A collaborative benchmark for region of interest detection algorithms,
CVPR09(296-303).
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

Ferraz, L.[Luis], Binefa, X.[Xavier],
A Scale Invariant Interest Point Detector for Discriminative Blob Detection,
IbPRIA09(233-240).
Springer DOI Link 0906
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

Raj, K.C.E.S.[Katari Clement Emmanuel Sanjay], Venkataraman, S.[Sarma], Varadan, G.[Geeta],
A Fuzzy Approach to Region of Interest Coding in JPEG 2000 for Automatic Target Recognition Applications from High-Resolution Satellite Images,
ICCVGIP08(193-200).
IEEE DOI Link 0812
BibRef

Gur, Y.[Yaniv], Sochen, N.A.[Nir A.],
Non-Abelian invariant feature detection,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

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
BibRef

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
BibRef

Viksten, F.[Fredrik], Nordberg, K.[Klas], Kalms, M.[Mikael],
Point-of-interest detection for range data,
ICPR08(1-4).
IEEE DOI Link 0812
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

Li, Q.[Qi], Xia, Z.H.[Zhong-Hang],
Detecting image points of diverse imbalance,
ICIP08(2592-2595).
IEEE DOI Link 0810
BibRef

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
BibRef

Perez-Carrasco, J.A., Serrano, C., Acha, B., Serrano-Gotarredona, T., Linares-Barranco, B.,
Event based vision sensing and processing,
ICIP08(1392-1395).
IEEE DOI Link 0810
Spike events. BibRef

Dong, M.[Ming], Chen, Y.H.[Yan-Hua],
Salient region detection and feature extraction in 3D visual data,
ICIP08(185-188).
IEEE DOI Link 0810
BibRef

Kerr, D., Coleman, S.A.[Sonya A.], Scotney, B.W.[Bryan W.],
Comparing Cornerness Measures for Interest Point Detection,
IMVIP08(105-110).
IEEE DOI Link 0809
BibRef

Gupta, R.[Raj], Mittal, A.[Anurag],
SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor,
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ECCV08(III: 140-153).
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Agrawal, M.[Motilal], Konolige, K.[Kurt], Blas, M.R.[Morten Rufus],
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Szumilas, L.[Lech], Wildenauer, H.[Horst], Hanbury, A.[Allan], Donner, R.[René],
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ECCV06(II: 360-373).
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Earlier:
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes,
ICCV05(II: 1474-1481).
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Chai, D.F.[Deng-Feng], Peng, Q.S.[Qun-Sheng],
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A fast method to improve the stability of interest point detection under illumination changes,
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Hall, P., Owen, M., Collomosse, J.,
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Dorkó, G.[Gyuri], Schmid, C.[Cordelia],
Maximally Stable Local Description for Scale Selection,
ECCV06(IV: 504-516).
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Object Class Recognition Using Discriminative Local Features,
INRIARR-5497, 2005.
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CLOR06(423-442).
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Earlier:
A Maximum Entropy Framework for Part-Based Texture and Object Recognition,
ICCV05(I: 832-838).
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Semi-Local Affine Parts for Object Recognition,
BMVC04(xx-yy).
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Computation of Shape Features of Two Dimensional Objects .