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Recognition of Convex Blobs,
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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
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SMC(11), 1981, pp. 194-201.
BibRef
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Earlier:
PRIP81(464-469).
Segmentation, Blobs.
See also Recognition of Convex Blobs.
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Rosenberg, B.,
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CGIP(1), No. 2, August 1972, pp. 183-192.
WWW Version.
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Cooper, D.B.,
Maximum Likelihood Estimation of Markov-Process Blob Boundaries
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Blob Extraction.
Segmentation, Blobs.
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Danker, A.J., and
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Blob Detection by Relaxation,
PAMI(3), No. 1, January 1981, pp. 79-92.
BibRef
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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
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Detecting and Extracting Compact Textured Regions Using Pyramids,
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WWW Version.
Blob Extraction.
Segmentation, Blobs.
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Rosenfeld, A.,
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Bright-Spot Detection in Pyramids,
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WWW Version.
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Rewo, L.,
Enhancement and Detection of Convex Objects Using Regression Models,
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Blob Extraction. Blob detection.
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Blostein, D., and
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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
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van der Heijden, F.,
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Highlight on a Feature Extracted at Fine Scales:
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Springer DOI Link
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In hyperspectral imagery analysis. Model background using physics
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Genetic programming to generate code applied in windows across the image
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HVS Attention mechinism applied to spot detection.
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A-contrario Detectability of Spots in Textured Backgrounds,
JMIV(33), No. 3, March 2009, pp. xx-yy.
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0903
Based on human visual system analysis.
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Gao, D.S.[Da-Shan],
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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
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Apply to localize objects in clutter.
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Han, S.H.[Sun-Hyoung],
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1011
BibRef
Earlier:
Random walks on graphs to model saliency in images,
CVPR09(1698-1705).
IEEE DOI Link
0906
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Gopalakrishnan, V.[Viswanath],
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1202
BibRef
Earlier: A1, A3, A2:
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ACCV10(III: 732-743).
Springer DOI Link
1011
BibRef
And: A1, A3, A2:
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.],
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0911
BibRef
Earlier:
Beyond sliding windows:
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CVPR08(1-8).
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0806
Award, CVPR, Best Paper. Efficient search for existence of object.
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Branch and Bound Strategies for Non-maximal Suppression in Object
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EMMCVPR11(385-398).
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1107
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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
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IJCV(88), No. 2, June 2010, pp. xx-yy.
Springer DOI Link
1003
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Augmented Attribute Representations,
ECCV12(V: 242-255).
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1210
BibRef
Lampert, C.H.[Christoph H.],
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Smal, I.,
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Bai, X.Z.[Xiang-Zhi],
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PR(43), No. 6, June 2010, pp. 2145-2156.
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Top-hat transformation; Structuring element; Infrared dim small
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BibRef
Earlier:
ARTag: a Fiducial Marker System Using Digital Techniques,
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0507
Special markers in image for alignment for AR applications.
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Performance evaluation; Object detection; Object matching; Shape
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Zhao, G.Y.[Guo-Ying],
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Weber Local Descriptor (human perception depends not only on the
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WLD: differential excitation and orientation.
Apply to variety of feature detections.
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Matsumoto, M.[Mitsuharu],
Self-Quotient epsilon-Filter for Feature Extraction from
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IEICE(E93-D), No. 11, November 2010, pp. 3066-3075.
WWW Version.
1011
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Hyperspectral imagery; Target detection; Spectral matched filter;
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Feature detection; Shift invariance; Multi-scale processing;
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Curvilinear structures; Wiry objects; Descriptor; Detector;
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Murray, P.,
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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],
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Sparse kernel approximations for efficient classification and detection,
CVPR12(2320-2327).
IEEE DOI Link
1208
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.
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Chatfield, K.[Ken],
Lempitsky, V.[Victor],
Vedaldi, A.[Andrea],
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HTML Version.
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Award, BMVC, HM Poster.
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Ferraz, L.[Luis],
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CVIU(116), No. 4, April 2012, pp. 524-537.
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1202
BibRef
Earlier:
A Scale Invariant Interest Point Detector for Discriminative Blob
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IbPRIA09(233-240).
Springer DOI Link
0906
Interest points; Scale invariant detector; Affine invariant detector;
Gaussian curvature; Gaussian fitting; Blob evolution
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Kompella, V.R.[Varun Raj],
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Collective-reward based approach for detection of semi-transparent
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Collective-reward; Object detection; Semi-transparency; Transparency; Glass.
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Liu, S.W.[Shang-Wang],
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Shi, R.,
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Kobayashi, T.[Takumi],
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Motion Recognition Using Local Auto-Correlation of Space-Time Gradients,
PRL(33), No. 9, 1 July 2012, pp. 1188-1195.
Elsevier DOI Link
1202
BibRef
Earlier:
Image Feature Extraction Using Gradient Local Auto-Correlations,
ECCV08(I: 346-358).
Springer DOI Link
0810
Motion recognition; Motion feature extraction; Space-time gradient;
Auto-correlation; Bag-of-features
See also Face Recognition System Using Local Autocorrelations and Multiscale Integration.
See also Gesture Recognition Using Auto-Regressive Coefficients of Higher-Order Local Auto-Correlation Features.
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Lakemond, R.[Ruan],
Sridharan, S.[Sridha],
Fookes, C.[Clinton],
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JMIV(44), No. 2, October 2012, pp. 150-167.
WWW Version.
1206
BibRef
Earlier: A1, A3, A2:
Affine Adaptation of Local Image Features Using the Hessian Matrix,
AVSBS09(496-501).
IEEE DOI Link
0909
Blob detectors and corner features.
BibRef
Lakemond, R.[Ruan],
Fookes, C.[Clinton],
Sridharan, S.[Sridha],
Negative Determinant of Hessian Features,
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1209
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Earlier:
What is an object?,
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IEEE DOI Link
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BibRef
And:
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1009
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CVPR10(1633-1640).
IEEE DOI Link Video of talk:
WWW Version.
1006
BibRef
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1009
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ICIP11(3609-3612).
IEEE DOI Link
1201
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Earlier: A1, A3, A2:
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ICARCV10(1145-1150).
IEEE DOI Link
1109
Object description; Object detection; Non-redundant local binary
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1304
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1210
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ISVC12(II: 597-608).
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Spot image processing and simulation of the laser proximity fuze,
IASP11(159-162).
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Iwata, K.,
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1111
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Data driven frequency mapping for computationally scalable object
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AVSBS11(30-35).
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1111
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Spot Detection in Images with Noisy Background,
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1109
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Saliency Detection: A Self-Adaption Sparse Representation Approach,
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Image-Space Marker Detection and Recognition Using Projective
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1109
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ACIVS11(305-315).
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1108
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Fourier Tag: A Smoothly Degradable Fiducial Marker System with
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Learning Sparse Features On-Line for Image Classification,
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1106
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DCE-MRI Analysis Using Sparse Adaptive Representations,
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Learning Adaptive and Sparse Representations of Medical Images,
MCV10(130-140).
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1009
Sparse coding by learning dictionaries of features.
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Geometry Aware Local Kernels for Object Recognition,
ACCV10(I: 490-503).
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1011
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Removal of false positive in object detection with contour-based
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ICIP10(3941-3944).
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1009
after Haar-based detection.
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Object detection in gray scale images based on invariant polynomial
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ICIP10(4633-4636).
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1009
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Capelle-Laize, A.S.[Anne-Sophie],
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Hue-based quaternionic criterion for focused-color extraction,
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1009
Extract specific colored region.
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Gaussian mixture models for spots in microscopy using a new split/merge
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MVA09(34-).
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1006
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CVPR10(1609-1616).
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1006
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Interest Operators, Interest Points, Feature Points, Salient Points .