7.1.6 Feature, Object, Blob Detection and Spot Detection Systems

Chapter Contents (Back)
Spots. Object Detection. Spot Detection. Blob Detection. Blob Segmentation.

Sklansky, J.,
Recognition of Convex Blobs,
PR(2), No. 1, January 1970, pp. 3-10.
WWW Version. BibRef 7001
Earlier: TRUCI TR-69-3, July 1969. Blob Extraction. See also Parallel Detection of Concavities in Cellular Blobs. See also Minimal Rectangular Partitions of Digitized Blobs. BibRef

Minor, L.G., and Sklansky, J.,
The Detection and Segmentation of Blobs in Infrared Images,
SMC(11), 1981, pp. 194-201. BibRef 8100
Earlier: PRIP81(464-469). Segmentation, Blobs. See also Recognition of Convex Blobs. BibRef

Rosenberg, B.,
The Analysis of Convex Blobs,
CGIP(1), No. 2, August 1972, pp. 183-192.
WWW Version. BibRef 7208

Cooper, D.B.,
Maximum Likelihood Estimation of Markov-Process Blob Boundaries in Noisy Images,
PAMI(1), No. 4, October 1979, 372-384. Blob Extraction. Segmentation, Blobs. BibRef 7910

Danker, A.J., and Rosenfeld, A.,
Blob Detection by Relaxation,
PAMI(3), No. 1, January 1981, pp. 79-92. BibRef 8101
And: A2, A1 plus A3: Dyer, C.R.,
Blob Extraction by Relaxation,
DARPA79(61-65). BibRef

Hong, T.H., and Rosenfeld, A.,
Compact Region Extraction Using Weighted Pixel Linking in a Pyramid,
PAMI(6), No. 2, March 1984, pp. 222-229. BibRef 8403
Earlier:
Unforced Image Partitioning by Weighted Pyramid Linking,
DARPA82(72-78). See also Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. BibRef

Hong, T.H., and Shneier, M.O.,
Extracting Compact Objects Using Linked Pyramids,
PAMI(6), No. 2, March 1984, pp. 229-236. BibRef 8403
Earlier: DARPA82(58-71). See also Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. BibRef

Shneier, M.O.,
Using Pyramids to Define Local Thresholds for Blob Detection,
PAMI(5), No. 3, May 1983, pp. 345-349. BibRef 8305
Earlier: DARPAN79(31-35). Blob Extraction. Segmentation, Blobs. BibRef

Sher, C.A., and Rosenfeld, A.,
Detecting and Extracting Compact Textured Regions Using Pyramids,
IVC(7), No. 2, May 1989, pp. 129-134.
WWW Version. Blob Extraction. Segmentation, Blobs. BibRef 8905

Rosenfeld, A., Sher, A.C.,
Detection and Delineation of Compact Objects Using Intensity Pyramids,
PR(21), No. 2, 1988, pp. 147-151.
WWW Version. BibRef 8800

Blanford, R.P., Tanimoto, S.L.,
Bright-Spot Detection in Pyramids,
CVGIP(43), No. 2, August 1988, pp. 133-149.
WWW Version. BibRef 8808

Rewo, L.,
Enhancement and Detection of Convex Objects Using Regression Models,
CVGIP(25), No. 2, February 1984, pp. 257-269.
WWW Version. Blob Extraction. Blob detection. BibRef 8402

Blostein, D., and Ahuja, N.,
A Multi-scale Region Detector,
CVGIP(45), No. 1, January 1989, pp. 22-41.
WWW Version. Blob Extraction. Segmentation, Blobs. Textures, Structural. This is not really texture segmentation, but segmentation of texture elements. The standard Laplacian of Gaussian is applied and homogeneous regions are found which are composed of areas most easily represented as disks. Some analysis of the LoG is done to derive a means to find the disks. Different sizes are used to get different size disks. BibRef 8901

van der Heijden, F., Apperloo, W., Spreeuwers, L.J.,
Numerical Optimization in Spot Detector Design,
PRL(18), No. 11-13, November 1997, pp. 1091-1097. 9806
BibRef

Noordmans, H.J., Smeulders, A.W.M.,
Detection and Characterization of Isolated and Overlapping Spots,
CVIU(70), No. 1, April 1998, pp. 23-35.
WWW Version. BibRef 9804

Boccignone, G.[Giuseppe], Chianese, A.[Angelo], Picariello, A.[Antonio],
Multiresolution spot detection by means of entropy thresholding,
JOSA-A(17), No. 7, July 2000, pp. 1160-1171. 0008
BibRef

Olivo-Marin, J.C.[Jean-Christophe],
Extraction of spots in biological images using multiscale products,
PR(35), No. 9, September 2002, pp. 1989-1996.
WWW Version. 0206
BibRef

Kerekes, J.P., Baum, J.E.,
Spectral imaging system analytical model for subpixel object detection,
GeoRS(40), No. 5, May 2002, pp. 1088-1101.
IEEE Top Reference. 0206
BibRef

Kerekes, J.P., Baum, J.E.,
Full-Spectrum Spectral Imaging System Analytical Model,
GeoRS(43), No. 3, March 2005, pp. 571-580.
IEEE Abstract. 0501
BibRef

Stefanou, M.S., Kerekes, J.P.,
A Method for Assessing Spectral Image Utility,
GeoRS(47), No. 6, June 2009, pp. 1698-1706.
IEEE DOI Link 0905
BibRef

Stefanou, M.S., Kerekes, J.P.,
Image-Derived Prediction of Spectral Image Utility for Target Detection Applications,
GeoRS(48), No. 4, April 2010, pp. 1827-1833.
IEEE DOI Link 1003
BibRef

Tzafestas, C.S.[Costas S.], Maragos, P.[Petros],
Shape Connectivity: Multiscale Analysis and Application to Generalized Granulometries,
JMIV(17), No. 2, September 2002, pp. 109-129.
WWW Version. 0211
BibRef

Dougherty, E.R.[Edward R.],
Granulometric Size Density for Segmented Random-Disk Models,
JMIV(17), No. 3, November 2002, pp. 271-281.
WWW Version. 0211
BibRef

Caselles, V.[Vicent], Monasse, P.[Pascal],
Grain Filters,
JMIV(17), No. 3, November 2002, pp. 249-270.
WWW Version. 0211
BibRef

Ancona, N.[Nicola], Cicirelli, G., Stella, E.[Ettore], Distante, A.,
Ball detection in static images with Support Vector Machines for classification,
IVC(21), No. 8, August 2003, pp. 675-692.
WWW Version. 0307
BibRef
Earlier:
Object detection in images run-time complexity and parameter selection of support vector machines,
ICPR02(II: 426-429).
IEEE DOI Link 0211
BibRef

Ancona, N.[Nicola], Maglietta, R.[Rosalia], Stella, E.[Ettore],
Data representations and generalization error in kernel based learning machines,
PR(39), No. 9, September 2006, pp. 1588-1603.
WWW Version. 0606
Supervised learning; Support vector machines; Generalization; Leave-one-out error; Sparse and dense data representation BibRef

d'Orazio, T., Ancona, N., Cicirelli, G., Nitti, M.,
A ball detection algorithm for real soccer image sequences,
ICPR02(I: 210-213).
IEEE DOI Link 0211
BibRef

Lee, K.M.[Kyoung-Mi], Street, W.N.[W. Nick],
Model-based detection, segmentation, and classification for image analysis using on-line shape learning,
MVA(13), No. 4, 2003, pp. 222-233.
HTML Version. 0304
BibRef

Lee, K.M.[Kyoung-Mi], Street, W.N.[W. Nick],
Automatic Image Segmentation and Classification Using On-line Shape Learning,
WACV00(64-70).
IEEE Abstract. 0010
Finding blobs. BibRef

Pang, G.K.H., Liu, H.H.S.,
LED location beacon system based on processing of digital images,
ITS(2), No. 3, September 2001, pp. 135-150.
IEEE Abstract. 0402
BibRef

Beraldin, J.A.[J. Angelo], Blais, F.[Francois], Rioux, M.[Marc], Domey, J.[Jacques],
Position sensitive light spot detector,
US_Patent6,297,488, Oct 2, 2001
WWW Version. BibRef 0110

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

Xiao, Z.T.[Zhi-Tao], Hou, Z.X.[Zheng-Xin],
Phase based feature detector consistent with human visual system characteristics,
PRL(25), No. 10, 16 July 2004, pp. 1115-1121.
WWW Version. 0407
BibRef

Pagčs, J.[Jordi], Salvi, J.[Joaquim], Collewet, C.[Christophe], Forest, J.[Josep],
Optimised De Bruijn patterns for one-shot shape acquisition,
IVC(23), No. 8, 1 August 2005, pp. 707-720.
WWW Version. 0508
BibRef

Jiang, J.M.[Jian-Min], Weng, Y.[Ying], Li, P.J.[Peng-Jie],
Dominant colour extraction in DCT domain,
IVC(24), No. 12, 1 December 2006, pp. 1269-1277.
WWW Version. 0610
Dominant colour features; MPEG-7; Feature extraction in compressed domain Without decompressing. BibRef

Gonzo, L.[Lorenzo], Simoni, A.[Andrea], Gottardi, M.[Massimo], Beraldin, J.A.[J. Angelo],
System and method of light spot position and color detection,
US_Patent7,022,966, Apr 4, 2006
WWW Version. BibRef 0604

Marks, R.L.[Richard L.],
Method for color transition detection,
US_Patent7,113,193, Sep 26, 2006
WWW Version. Detect object via color BibRef 0609

Damerval, C.[Christophe], Meignen, S.[Sylvain],
Blob Detection With Wavelet Maxima Lines,
SPLetters(14), No. 1, January 2007, pp. 39-42.
IEEE DOI Link 0701
BibRef

Damerval, C.[Christophe], Meignen, S.[Sylvain],
Study of a Robust Feature: The Pointwise Lipschitz Regularity,
IJCV(88), No. 3, July 2010, pp. xx-yy.
Springer DOI Link 1003
BibRef
Earlier:
Highlight on a Feature Extracted at Fine Scales: The Pointwise Lipschitz Regularity,
SSVM09(782-794).
Springer DOI Link 0906
BibRef

Urbach, E.R., Roerdink, J.B.T.M.[Jos B.T.M.], Wilkinson, M.H.F.[Michael H.F.],
Connected Shape-Size Pattern Spectra for Rotation and Scale-Invariant Classification of Gray-Scale Images,
PAMI(29), No. 2, February 2007, pp. 272-285.
IEEE DOI Link 0701
BibRef
Earlier:
Connected rotation-invariant size-shape granulometries,
ICPR04(I: 688-691).
IEEE DOI Link 0409
BibRef

Land, S.[Sander], Wilkinson, M.H.F.[Michael H.F.],
A Comparison of Spatial Pattern Spectra,
ISMM09(92-103).
Springer DOI Link 0908
BibRef

Wilkinson, M.H.F.,
Generalized pattern spectra sensitive to spatial information,
ICPR02(I: 21-24).
IEEE DOI Link 0211
BibRef

Broadwater, J.[Joshua], Chellappa, R.[Rama],
Hybrid Detectors for Subpixel Targets,
PAMI(29), No. 11, November 2007, pp. 1891-1903.
IEEE DOI Link 0711
In hyperspectral imagery analysis. Model background using physics and statistics. Compare to AMSD and ACE. BibRef

Zhang, M.J.[Meng-Jie], Bhowan, U.[Urvesh], Ny, B.[Bunna],
Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function,
ELCVIA(6), No. 1, 2007, pp. 27-43.
WWW Version. 0709
Genetic programming to generate code applied in windows across the image to extract objects. BibRef

Caucci, L.[Luca], Barrett, H.H.[Harrison H.], Devaney, N.[Nicholas], Rodríguez, J.J.[Jeffrey J.],
Application of the Hotelling and ideal observers to detection and localization of exoplanets,
JOSA-A(24), No. 12, December 2007, pp. B13-B24.
WWW Version. 0801
Object detection. Planets. BibRef

Clarke, T.A.[Timothy Alan], Wang, X.C.[Xin-Chi],
Method for identifying measuring points in an optical measuring system,
US_Patent7,184,151, Feb 27, 2007
WWW Version. BibRef 0702

Gutierrez, J.A.[José A.], Armstrong, B.S.R.[Brian S.R.],
Precision Landmark Location for Machine Vision and Photogrammetry: Finding and Achieving the Maximum Possible Accuracy,
Springer2008, ISBN: 978-1-84628-912-5.
WWW Version. Code, Landmarks. Techniques to achieve optimal results. To purchase this book look here BibRef 0800

Bogdanova, I., Bur, A., Hugli, H.,
Visual Attention on the Sphere,
IP(17), No. 11, November 2008, pp. 1-15.
IEEE DOI Link 0810
HVS Attention mechinism applied to spot detection. See also Dynamic visual attention on the sphere. BibRef

Grosjean, B.[Bénédicte], Moisan, L.[Lionel],
A-contrario Detectability of Spots in Textured Backgrounds,
JMIV(33), No. 3, March 2009, pp. xx-yy.
Springer DOI Link 0903
Based on human visual system analysis. BibRef

Gao, D.S.[Da-Shan], Han, S.H.[Sun-Hyoung], Vasconcelos, N.[Nuno],
Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition,
PAMI(31), No. 6, June 2009, pp. 989-1005.
IEEE DOI Link 0904
BibRef
Earlier: A1, A3, Only:
Bottom-up saliency is a discriminant process,
ICCV07(1-6).
IEEE DOI Link 0710
BibRef
Earlier: A1, A3, Only:
Discriminant Interest Points are Stable,
CVPR07(1-6).
IEEE DOI Link 0706
Related to infomax, inference by detection of suspicious coincidences, classification with minimal uncertainty, and classification with minimum probability of error. Apply to localize objects in clutter. BibRef

Han, S.H.[Sun-Hyoung], Vasconcelos, N.[Nuno],
Complex discriminant features for object classification,
ICIP08(1700-1703).
IEEE DOI Link 0810
BibRef

Rosin, P.L.[Paul L.],
A simple method for detecting salient regions,
PR(42), No. 11, November 2009, pp. 2363-2371.
Elsevier DOI Link
WWW Version. 0907
Salience map; Importance map; Focus of attention; Distance transform BibRef

Gopalakrishnan, V.[Viswanath], Hu, Y.Q.[Yi-Qun], Rajan, D.[Deepu],
Salient Region Detection by Modeling Distributions of Color and Orientation,
MultMed(11), No. 5, 2009, pp. 892-905.
IEEE DOI Link 0907
BibRef

Gopalakrishnan, V.[Viswanath], Hu, Y.Q.[Yi-Qun], Rajan, D.[Deepu],
Random Walks on Graphs for Salient Object Detection in Images,
IP(19), No. 12, December 2010, pp. 3232-3242.
IEEE DOI Link 1011
BibRef
Earlier:
Random walks on graphs to model saliency in images,
CVPR09(1698-1705).
IEEE DOI Link 0906
BibRef

Gopalakrishnan, V.[Viswanath], Hu, Y.Q.[Yi-Qun], Rajan, D.[Deepu],
Sustained Observability for Salient Motion Detection,
ACCV10(III: 732-743).
Springer DOI Link 1011
BibRef

Gopalakrishnan, V.[Viswanath], Hu, Y.Q.[Yi-Qun], Rajan, D.[Deepu],
Unsupervised Feature Selection for Salient Object Detection,
ACCV10(II: 15-26).
Springer DOI Link 1011
BibRef

Lampert, C.H.[Christoph H.], Blaschko, M.B.[Matthew B.], Hofmann, T.[Thomas],
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization,
PAMI(31), No. 12, December 2009, pp. 2129-2142.
IEEE DOI Link 0911
BibRef
Earlier:
Beyond sliding windows: Object localization by efficient subwindow search,
CVPR08(1-8).
IEEE DOI Link 0806
Award, CVPR, Best Paper. Efficient search for existence of object. BibRef

Blaschko, M.B.[Matthew B.],
Branch and Bound Strategies for Non-maximal Suppression in Object Detection,
EMMCVPR11(385-398).
Springer DOI Link 1107
BibRef

Lampert, C.H.[Christoph H.],
An efficient divide-and-conquer cascade for nonlinear object detection,
CVPR10(1022-1029).
IEEE DOI Link 1006
BibRef
Earlier:
Detecting objects in large image collections and videos by efficient subimage retrieval,
ICCV09(987-994).
IEEE DOI Link 0909
BibRef

Blaschko, M.B.[Matthew B.], Lampert, C.H.[Christoph H.],
Object Localization with Global and Local Context Kernels,
BMVC09(xx-yy).
PDF Version. 0909
BibRef
Earlier:
Learning to Localize Objects with Structured Output Regression,
ECCV08(I: 2-15).
Springer DOI Link 0810
BibRef

Tuytelaars, T.[Tinne], Lampert, C.H.[Christoph H.], Blaschko, M.B.[Matthew B.], Buntine, W.[Wray],
Unsupervised Object Discovery: A Comparison,
IJCV(88), No. 2, June 2010, pp. xx-yy.
Springer DOI Link 1003
BibRef

Lampert, C.H.[Christoph H.], Nickisch, H.[Hannes], Harmeling, S.[Stefan],
Learning to detect unseen object classes by between-class attribute transfer,
CVPR09(951-958).
IEEE DOI Link 0906
BibRef

Smal, I., Loog, M., Niessen, W.J., Meijering, E.H.W.,
Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy,
MedImg(29), No. 2, February 2010, pp. 282-301.
IEEE DOI Link 1002
BibRef

Bai, X.Z.[Xiang-Zhi], Zhou, F.[Fugen],
Analysis of new top-hat transformation and the application for infrared dim small target detection,
PR(43), No. 6, June 2010, pp. 2145-2156.
Elsevier DOI Link
WWW Version. 1003
Top-hat transformation; Structuring element; Infrared dim small target; Target detection BibRef

Fiala, M.[Mark],
Designing Highly Reliable Fiducial Markers,
PAMI(32), No. 7, July 2010, pp. 1317-1324.
IEEE DOI Link 1006
BibRef
Earlier:
ARTag: a Fiducial Marker System Using Digital Techniques,
CVPR05(II: 590-596).
IEEE DOI Link 0507
Special markers in image for alignment for AR applications. BibRef

Zhu, D.X.[Dai-Xian],
SIFT algorithm analysis and optimization,
IASP10(415-419).
IEEE DOI Link 1004
BibRef

Ozdemir, B.[Bahadir], Aksoy, S.[Selim], Eckert, S.[Sandra], Pesaresi, M.[Martino], Ehrlich, D.[Daniele],
Performance measures for object detection evaluation,
PRL(31), No. 10, 15 July 2010, pp. 1128-1137.
Elsevier DOI Link
WWW Version. 1008
Performance evaluation; Object detection; Object matching; Shape modeling; Multi-criteria ranking BibRef

Chen, J.[Jie], Shan, S.G.[Shi-Guang], He, C.[Chu], Zhao, G.Y.[Guo-Ying], Pietikainen, M., Chen, X.L.[Xi-Lin], Gao, W.[Wen],
WLD: A Robust Local Image Descriptor,
PAMI(32), No. 9, September 2010, pp. 1705-1720.
IEEE DOI Link 1008
Weber Local Descriptor (human perception depends not only on the change, but the initial level). WLD: differential excitation and orientation. Apply to variety of feature detections. BibRef

Matsumoto, M.[Mitsuharu],
Self-Quotient epsilon-Filter for Feature Extraction from Noise Corrupted Image,
IEICE(E93-D), No. 11, November 2010, pp. 3066-3075.
WWW Version. 1011
BibRef

Gu, Y.F.[Yan-Feng], Wang, C.[Chen], Wang, S.Z.[Shi-Zhe], Zhang, Y.[Ye],
Kernel-based regularized-angle spectral matching for target detection in hyperspectral imagery,
PRL(32), No. 2, 15 January 2011, pp. 114-119.
Elsevier DOI Link
WWW Version. 1101
Hyperspectral imagery; Target detection; Spectral matched filter; Spectral angle mapper; Kernel methods BibRef

Khachaturov, G.[Georgii],
A scalable, high-precision, and low-noise detector of shift-invariant image locations,
PRL(32), No. 2, 15 January 2011, pp. 145-152.
Elsevier DOI Link
WWW Version. 1101
Feature detection; Shift invariance; Multi-scale processing; Image-to-data structures processing BibRef

Lemaitre, C., Perdoch, M., Rahmoune, A., Matas, J.G., Miteran, J.,
Detection and matching of curvilinear structures,
PR(44), No. 7, July 2011, pp. 1514-1527.
Elsevier DOI Link
WWW Version. 1103
Curvilinear structures; Wiry objects; Descriptor; Detector; Segmentation; Matching BibRef

Lemaitre, C.[Cédric], Miteran, J.[Johel], Matas, J.G.[Jiri G.],
Definition of a Model-Based Detector of Curvilinear Regions,
CAIP07(686-693).
Springer DOI Link 0708
BibRef

Murray, P., Marshall, S.,
A New Design Tool for Feature Extraction in Noisy Images Based on Grayscale Hit-or-Miss Transforms,
IP(20), No. 7, July 2011, pp. 1938-1948.
IEEE DOI Link 1107
BibRef

Vedaldi, A.[Andrea], Zisserman, A.[Andrew],
Efficient Additive Kernels via Explicit Feature Maps,
PAMI(34), No. 3, March 2012, pp. 480-492.
IEEE DOI Link 1201
BibRef
Earlier: CVPR10(3539-3546).
IEEE DOI Link 1006
BibRef

Vempati, S.[Sreekanth], Vedaldi, A.[Andrea], Zisserman, A.[Andrew], Jawahar, C.V.,
Generalized Rbf feature maps for Efficient Detection,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Vedaldi, A.[Andrea], Gulshan, V.[Varun], Varma, M.[Manik], Zisserman, A.[Andrew],
Multiple kernels for object detection,
ICCV09(606-613).
IEEE DOI Link 0909
See also Learning The Discriminative Power-Invariance Trade-Off. BibRef

Chatfield, K.[Ken], Lempitsky, V.[Victor], Vedaldi, A.[Andrea], Zisserman, A.[Andrew],
The devil is in the details: An evaluation of recent feature encoding methods,
BMVC11(xx-yy).
HTML Version. 1110
Award, BMVC, HM Poster. BibRef


Quast, K.[Katharina], Seeger, C.[Christoph], Trivedi, M.M.[Mohan M.], Kaup, A.[Andre],
Boosting based object detection using a geometric model,
ICIP11(3569-3572).
IEEE DOI Link 1201
BibRef

Torrent, A.[Albert], Llado, X.[Xavier], Freixenet, J.[Jordi], Torralba, A.[Antonio],
Simultaneous detection and segmentation for generic objects,
ICIP11(653-656).
IEEE DOI Link 1201
General framework, not just one kind of object. BibRef

Gan, L.[Lin], Zhang, H.[He], Zhang, X.J.[Xiang-Jin],
Spot image processing and simulation of the laser proximity fuze,
IASP11(159-162).
IEEE DOI Link 1112
BibRef

Shah, B.N.[Brijesh N.], Shah, S.K.[Satish K.], Kosta, Y.P.,
A seeded region growing algorithm for spot detection in medical image segmentation,
ICIIP11(1-4).
IEEE DOI Link 1112
BibRef

Zhao, X.[Xinyue], Satoh, Y., Takauji, H., Kaneko, S., Iwata, K., Ozaki, R.,
Robust adapted object detection under complex environment,
AVSBS11(261-266).
IEEE DOI Link 1111
BibRef

Porikli, F., Ozkan, H.,
Data driven frequency mapping for computationally scalable object detection,
AVSBS11(30-35).
IEEE DOI Link 1111
BibRef

Smirnov, P.[Pavel], Semenov, P.[Piotr], Redkin, A.[Alexander], Chun, A.[Anthony],
Toward Accurate Feature Detectors Performance Evaluation,
CVS11(51-60).
Springer DOI Link 1109
BibRef

Ferraretti, D.[Denis], Casarotti, L.[Luca], Gamberoni, G.[Giacomo], Lamma, E.[Evelina],
Spot Detection in Images with Noisy Background,
CIAP11(I: 575-584).
Springer DOI Link 1109
BibRef

Zhang, G.X.[Gao-Xiang], Jiang, F.[Feng], Zhao, D.B.[De-Bin], Sun, X.S.[Xiao-Shuai], Liu, S.H.[Shao-Hui],
Saliency Detection: A Self-Adaption Sparse Representation Approach,
ICIG11(461-465).
IEEE DOI Link 1109
BibRef

Bergamasco, F.[Filippo], Albarelli, A.[Andrea], Torsello, A.[Andrea],
Image-Space Marker Detection and Recognition Using Projective Invariants,
3DIMPVT11(381-388).
IEEE DOI Link 1109
BibRef

Bergamasco, F.[Filippo], Albarelli, A.[Andrea], Rodola, E.[Emanuele], Torsello, A.[Andrea],
RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience,
CVPR11(113-120).
IEEE DOI Link 1106
BibRef

Chen, G.[Guang], Han, T.X.[Tony X.], Lao, S.H.[Shi-Hong],
Adapting an object detector by considering the worst case: A conservative approach,
CVPR11(1369-1376).
IEEE DOI Link 1106
BibRef

Kim, H.C.[Hyun-Cheol], Kim, W.Y.[Whoi-Yul],
Salient Region Detection Using Discriminative Feature Selection,
ACIVS11(305-315).
Springer DOI Link 1108
BibRef

Xiong, J.[Jian], Nguyen, T.M.[Thanh Minh], Wu, Q.M.J.[Q.M. Jonathan],
FPGA Implementation of Blob Recognition,
CRV11(125-131).
IEEE DOI Link 1105
BibRef

Xu, A.[Anqi], Dudek, G.[Gregory],
Fourier Tag: A Smoothly Degradable Fiducial Marker System with Configurable Payload Capacity,
CRV11(40-47).
IEEE DOI Link 1105
BibRef

Zhang, Z.M.[Zi-Ming], Huang, J.W.[Jia-Wei], Li, Z.N.[Ze-Nian],
Learning Sparse Features On-Line for Image Classification,
ICIAR11(I: 122-131).
Springer DOI Link 1106
BibRef

Chiusano, G.[Gabriele], Staglianň, A.[Alessandra], Basso, C.[Curzio], Verri, A.[Alessandro],
DCE-MRI Analysis Using Sparse Adaptive Representations,
MLMI11(67-74).
Springer DOI Link 1109
BibRef

Staglianň, A.[Alessandra], Chiusano, G.[Gabriele], Basso, C.[Curzio], Santoro, M.[Matteo],
Learning Adaptive and Sparse Representations of Medical Images,
MCV10(130-140).
Springer DOI Link 1009
Sparse coding by learning dictionaries of features. BibRef

Semenovich, D.[Dimitri], Sowmya, A.[Arcot],
Geometry Aware Local Kernels for Object Recognition,
ACCV10(I: 490-503).
Springer DOI Link 1011
BibRef

Li, H.Y.[Hong-Yu], Chen, L.[Lei],
Removal of false positive in object detection with contour-based classifiers,
ICIP10(3941-3944).
IEEE DOI Link 1009
after Haar-based detection. BibRef

Nguyen, D.T.[Duc Thanh], Zong, Z.M.[Zhi-Min], Ogunbona, P.[Philip], Li, W.Q.[Wan-Qing],
Object detection using Non-Redundant Local Binary Patterns,
ICIP10(4609-4612).
IEEE DOI Link 1009
BibRef

Nguyen, D.T.[Duc Thanh], Ogunbona, P.[Philip], Li, W.Q.[Wan-Qing],
Human detection with contour-based local motion binary patterns,
ICIP11(3609-3612).
IEEE DOI Link 1201
BibRef
Earlier: A1, A3, A2:
Human detection using local shape and Non-Redundant binary patterns,
ICARCV10(1145-1150).
IEEE DOI Link 1109
BibRef

Schindler, A.[Andreas], Maier, G.[Georg],
Object detection in gray scale images based on invariant polynomial features,
ICIP10(4633-4636).
IEEE DOI Link 1009
BibRef

Petit, F.[Frederic], Capelle-Laize, A.S.[Anne-Sophie], Carre, P.[Philippe],
Hue-based quaternionic criterion for focused-color extraction,
ICIP10(1617-1620).
IEEE DOI Link 1009
Extract specific colored region. BibRef

Pan, H.[Hong], Xia, L.Z.[Liang-Zheng], Nguyen, T.Q.[Truong Q.],
Robust object detection scheme using feature selection,
ICIP10(849-852).
IEEE DOI Link 1009
BibRef

Pan, K.[Kangyu], Kokaram, A.[Anil], Hillebrand, J.[Jens], Ramaswami, M.[Mani],
Gaussian mixture models for spots in microscopy using a new split/merge em algorithm,
ICIP10(3645-3648).
IEEE DOI Link 1009
BibRef

Liu, J.[Jiamin], White, J.M.[Jacob M.], Summers, R.M.[Ronald M.],
Automated detection of blob structures by Hessian analysis and object scale,
ICIP10(841-844).
IEEE DOI Link 1009
BibRef

Ming, A.[Anlong], Ma, H.[Huadong],
A blob detector in color images,
CIVR07(364-370).
WWW Version. 0707
BibRef

Gao, K.[Ke], Zhang, Y.D.[Yong-Dong], Zhang, W.[Wei], Lin, S.X.[Shou-Xun],
Affine Stable Characteristic based sample expansion for object detection,
CIVR10(422-429).
WWW Version. 1007
BibRef

Kobayashi, J.[Junya], Yamada, K.[Keiichi],
Detection of Abnormal Objects in a Scene Based on Local Features,
MVA09(34-).
PDF Version. 0905
Trained with usual scenes, find things not in the training. BibRef

Truong, H.Q.[Hung Quoc], Ben Hmida, H.[Helmi], Marbs, A.[Andreas], Boochs, F.[Frank],
Integration of knowledge into the detection of objects in point clouds,
PCVIA10(B:143).
PDF Version. 1009
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

Su, J.Y.[Jing-Yong], Zhu, Z.Q.[Zhi-Qiang], Srivastava, A.[Anuj], Huffer, F.[Fred],
Detection of Shapes in 2D Point Clouds Generated from Images,
ICPR10(2640-2643).
IEEE DOI Link 1008
BibRef

Kumar, V.B.G.[Vijay B.G.], Patras, I.[Ioannis],
A Discriminative Voting Scheme for Object Detection using Hough Forests,
BMVCWS10(xx-yy).
HTML Version. 1009
BibRef

Pedersoli, M.[Marco], Vedaldi, A.[Andrea], Gonzalez, J.[Jordi],
A coarse-to-fine approach for fast deformable object detection,
CVPR11(1353-1360).
IEEE DOI Link 1106
BibRef

Pedersoli, M.[Marco], Gonzŕlez, J.[Jordi], Bagdanov, A.D.[Andrew D.], Villanueva, J.J.[Juan J.],
Recursive Coarse-to-Fine Localization for Fast Object Detection,
ECCV10(VI: 280-293).
Springer DOI Link 1009
BibRef

Cho, M.[Minsu], Shin, Y.M.[Young Min], Lee, K.M.[Kyoung Mu],
Unsupervised detection and segmentation of identical objects,
CVPR10(1617-1624).
IEEE DOI Link Video of talk:
WWW Version. 1006
Grow from local feature matches. BibRef

Liu, H.R.[Hai-Rong], Yan, S.C.[Shui-Cheng],
Common visual pattern discovery via spatially coherent correspondences,
CVPR10(1609-1616).
IEEE DOI Link Video of talk:
WWW Version. 1006
local features and spatial arrangements Not simple blobs, but more complex structures. BibRef

Zhang, Z.[Zhiqi], Cao, Y.[Yu], Salvi, D.[Dhaval], Oliver, K.[Kenton], Waggoner, J.W.[Jarrell W.], Wang, S.[Song],
Free-shape subwindow search for object localization,
CVPR10(1086-1093).
IEEE DOI Link 1006
BibRef

Russakovsky, O.[Olga], Ng, A.Y.[Andrew Y.],
A Steiner tree approach to efficient object detection,
CVPR10(1070-1077).
IEEE DOI Link 1006
BibRef

Pham, M.T.[Minh-Tri], Gao, Y.[Yang], Hoang, V.D.D.[Viet-Dung D.], Cham, T.J.[Tat-Jen],
Fast polygonal integration and its application in extending Haar-like features to improve object detection,
CVPR10(942-949).
IEEE DOI Link 1006
Fast technique for arbitrary polygon, not just rectangular window. BibRef

Deselaers, T.[Thomas], Ferrari, V.[Vittorio],
Visual and semantic similarity in ImageNet,
CVPR11(1777-1784).
IEEE DOI Link 1106
BibRef
Earlier:
Global and efficient self-similarity for object classification and detection,
CVPR10(1633-1640).
IEEE DOI Link Video of talk:
WWW Version. 1006
BibRef

Deselaers, T.[Thomas], Alexe, B.[Bogdan], Ferrari, V.[Vittorio],
Localizing Objects While Learning Their Appearance,
ECCV10(IV: 452-466).
Springer DOI Link 1009
BibRef
And: A2, A1, A3:
What is an object?,
CVPR10(73-80).
IEEE DOI Link 1006
Does an image window contain an object (any object). BibRef

Alexe, B.[Bogdan], Deselaers, T.[Thomas], Ferrari, V.[Vittorio],
ClassCut for Unsupervised Class Segmentation,
ECCV10(V: 380-393).
Springer DOI Link 1009
BibRef

Lehmann, A.[Alain], Leibe, B.[Bastian], Van Gool, L.J.[Luc J.],
Feature-centric Efficient Subwindow Search,
ICCV09(940-947).
IEEE DOI Link 0909
Searching in object detection. See also Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. BibRef

dos Anjos, A.[Antonio], Shahbazkia, H.R.[Hamid Reza],
Automatic marker detection for blob images,
WACV09(1-6).
IEEE DOI Link 0912
BibRef

Nie, Q.[Qing], Li, W.M.[Wei-Ming], Zhan, S.Y.[Shou-Yi],
Classification Based on SPACT and Visual Saliency,
CISP09(1-5).
IEEE DOI Link 0910
Modified spatial PACT as local feature descriptor. BibRef

Gao, J.M.[Jing-Min], Sun, Y.[Yan],
The Jag-Wave Feature Detection in 2D Images,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Nguyen, T.B.[Thanh Binh], Chung, S.T.[Sun Tae],
An Improved Real-Time Blob Detection for Visual Surveillance,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Wang, A.L.[Ai-Li], Liu, P.G.[Pi-Gang], Chen, Y.S.[Yu-Shi],
Multiwavelet-Based Region of Interest Image Coding,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Zhu, D.X.[Dai-Xian], Wang, X.H.[Xiao-Hua],
A Method of Improving SIFT Algorithm Matching Efficiency,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Li, Z.[Zhan], Peng, J.Y.[Jing Ye], Li, D.X.[Da-Xiang], Zhang, Y.[Ying],
Max-Matching Context Kernel Design for SIFT Feature,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Kumar, P.[Praveen], Palaniappan, K.[Kannappan], Mittal, A.[Ankush], Seetharaman, G.[Guna],
Parallel Blob Extraction Using the Multi-core Cell Processor,
ACIVS09(320-332).
Springer DOI Link 0909
BibRef

Lakemond, R.[Ruan], Fookes, C.[Clinton], Sridharan, S.[Sridha],
Affine Adaptation of Local Image Features Using the Hessian Matrix,
AVSBS09(496-501).
IEEE DOI Link 0909
Blob detectors and corner features. BibRef

Lopez-Garcia, F.[Fernando],
SIFT features for object recognition and tracking within the IVSEE system,
ICPR08(1-4).
IEEE DOI Link 0812
Erly vision model BibRef

Vacura, M.[Miroslav], Svatek, V.[Vojtech], Saathoff, C.[Carsten], Franz, T.[Thomas], Troncy, R.[Raphael],
Describing low-level image features using the COMM ontology,
ICIP08(49-52).
IEEE DOI Link 0810
Extract low level features with COMM rather than MPEG-7 standard. BibRef

Li, Z.D.[Zhi-Dong], Chen, J.[Jing],
On Semantic Object Detection with Salient Feature,
ISVC08(II: 782-791).
Springer DOI Link 0812
BibRef

Fulkerson, B.[Brian], Vedaldi, A.[Andrea], Soatto, S.[Stefano],
Class Segmentation and Object Localization with Superpixel Neighborhoods,
ICCV09(670-677).
IEEE DOI Link 0909
BibRef
Earlier:
Localizing Objects with Smart Dictionaries,
ECCV08(I: 179-192).
Springer DOI Link 0810
Category and location of objects. First pixel classification with reduced dictionary. Combined results. BibRef

Kobayashi, T.[Takumi], Otsu, N.[Nobuyuki],
Image Feature Extraction Using Gradient Local Auto-Correlations,
ECCV08(I: 346-358).
Springer DOI Link 0810
BibRef

Emaminejad, A., Brookes, M.,
FEUDOR: Feature Extraction Using Distinctive Octagonal Regions,
BMVC08(xx-yy).
PDF Version. 0809
BibRef

Mahmood, A.[Arif],
Structure-less object detection using AdaBoost algorithm,
ICMV07(85-90).
IEEE DOI Link 0712
BibRef

Chin, B.[Barret], Zhang, M.J.[Meng-Jie],
Object Detection Using Neural Networks and Genetic Programming,
EvoIASP08(xx-yy).
Springer DOI Link 0804
BibRef

Baró, X.[Xavier], Vitriŕ, J.[Jordi],
Weighted Dissociated Dipoles: An Extended Visual Feature Set,
CVS08(xx-yy).
Springer DOI Link 0805
representation based on Haar-like filters for use in classification. BibRef

Baró, X.[Xavier], Vitriŕ, J.[Jordi],
Evolutionary Object Detection by Means of Naďve Bayes Models Estimation,
EvoIASP08(xx-yy).
Springer DOI Link 0804
BibRef

Jia, W.J.[Wen-Jing], Tien, D.[David], He, X.J.[Xiang-Jian], Hope, B.A.[Brian A.], Wu, Q.A.[Qi-Ang],
Applying Local Cooccurring Patterns for Object Detection from Aerial Images,
Visual07(478-489).
Springer DOI Link 0706
BibRef

Daskalakis, A.[Antonis], Cavouras, D.[Dionisis], Bougioukos, P.[Panagiotis], Kostopoulos, S.[Spiros], Kalatzis, I.[Ioannis], Kagadis, G.C.[George C.], Nikiforidis, G.[George],
Development of a Cascade Processing Method for Microarray Spot Segmentation,
IbPRIA07(I: 410-417).
Springer DOI Link 0706
BibRef

Liu, Y.S.[Yi-Sheng], Chen, S.Y.[Shu-Yuan], Chao, Y.T.[Ya-Ting], Liu, R.S.[Ru-Sheng], Tsai, Y.C.[Yuan-Ching], Hsieh, J.S.[Jaw-Shu],
Intelligent Spot Detection for 2-DE Gel Image,
PSIVT06(168-177).
Springer DOI Link 0612
BibRef

Donoser, M., Bischof, H., Wiltsche, M.,
Color Blob Segmentation by MSER Analysis,
ICIP06(757-760).
IEEE DOI Link 0610
BibRef

Dupac, J.[Jan], Hlavác, V.[Václav],
Stable Wave Detector of Blobs in Images,
DAGM06(760-769).
Springer DOI Link 0610
BibRef

Xu, Q.[Qi], Chen, Y.Q.[Yan Qiu],
Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification,
ICPR06(IV: 29-32).
IEEE DOI Link 0609
BibRef

Wang, W.X.[Wei-Xing],
Size and Shape Measure of Particles by Image Analysis,
IWCIA06(253-262).
Springer DOI Link 0606
BibRef

Samur, R., Zagorodnov, V.,
Segmenting Small Regions in the Presence of Noise,
ICIP05(II: 1254-1257).
IEEE DOI Link 0512
BibRef

Hinz, S.,
Fast and Subpixel Precise Blob Detection and Attribution,
ICIP05(III: 457-460).
IEEE DOI Link 0512
BibRef

Lichtenauer, J.F.[Jeroen F.], Hendriks, E.A.[Emile A.], Reinders, M.J.T.[Marcel J.T.],
Isophote Properties as Features for Object Detection,
CVPR05(II: 649-654).
IEEE DOI Link 0507
Filters for object detection. BibRef

Araujo, R.T.S., Medeiros, F.N.S., Costa, R.C.S., Marques, R.C.P., Moreira, R.B., Silva, J.L.,
Spots segmentation in SAR images for remote sensing of environment,
Southwest04(95-99).
IEEE Abstract. 0411
BibRef

Claus, D.[David], Fitzgibbon, A.W.[Andrew W.],
Reliable Automatic Calibration of a Marker-Based Position Tracking System,
WACV05(I: 300-305).
IEEE DOI Link 0502
BibRef

Claus, D.[David], Fitzgibbon, A.W.[Andrew W.],
Reliable Fiducial Detection in Natural Scenes,
ECCV04(Vol IV: 469-480).
WWW Version. 0405
BibRef

Forssen, P.E.[Per-Erik], Lowe, D.G.[David G.],
Shape Descriptors for Maximally Stable Extremal Regions,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Forssén, P.E.[Per-Erik], Granlund, G.H.[Gösta H.],
Robust Multi-scale Extraction of Blob Features,
SCIA03(11-18).
WWW Version. 0310
BibRef

Mamlouk, A.M.[Amir Madany], Kim, J.T.[Jan T.], Barth, E.[Erhardt], Brauckmann, M.[Michael], Martinetz, T.[Thomas],
One-Class Classification with Subgaussians,
DAGM03(346-353).
HTML Version. 0310
Assume a gaussian distribution, then it is a template match. BibRef

Sossa Azuela, J.H., Guzmán Lugo, G., Sotelo Rangel, R.,
Counting the Number of Blobs in an Image,
ICIP01(I: 1086-1089).
IEEE Abstract. 0108
BibRef

Nehrbass, U., Olivo-Marin, J.C.,
Three Dimensional Spot Detection by Multiscale Analysis,
ICIP01(I: 317-320).
IEEE Abstract. 0108
BibRef

Cucurachi, G.[Giorgio], Tascini, G.[Guido], Piazza, F.[Francesco],
Neural network for region detection,
CIAP97(II: 228-237).
WWW Version. 9709
BibRef

Cho, D.U.[Dong-Uk], Bae, J.J.,
Fuzzy-set based feature extraction for objects of various shapes and appearances,
ICIP96(II: 983-986).
IEEE DOI Link 9610
BibRef

Davies, E.R., Barker, S.P.,
An analysis of hole detection schemes,
BMVC90(xx-yy).
PDF Version. 9009
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Interest Operators, Interest Points, Feature Points, Salient Points .


Last update:Feb 8, 2012 at 11:25:05