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Scene recognition; Spatial pyramids; Texture; Dimensionality reduction;
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HMAX-S: Deep scale representation for biologically inspired image
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Theriault, C.[Christian],
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1309
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Earlier:
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Springer DOI
1211
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And:
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Clustering algorithms
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Curvature Scale Space, Almost-completeness, Curvature's levels,
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Razzaghi, P.[Parvin],
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Gao, S.H.[Shang-Hua],
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2101
Feature extraction, Task analysis, Object detection, Semantics,
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Feature extraction, Object detection, Semantics, Detectors,
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Decision support systems, Feature extraction, Kernel,
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1506
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Energetic lattice for optimizing over hierarchies of partitions,
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Convergence
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A Virtually Continuous Representation of the Deep Structure of
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1309
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Automatic Scale Selection of Superimposed Signals,
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Springer DOI
1209
BibRef
Ni, B.B.[Bing-Bing],
Xu, M.D.[Meng-Di],
Tang, J.H.[Jin-Hui],
Yan, S.C.[Shui-Cheng],
Moulin, P.[Pierre],
Omni-range spatial contexts for visual classification,
CVPR12(3514-3521).
IEEE DOI
1208
Size changes.
BibRef
Chen, C.[Chao],
Edelsbrunner, H.[Herbert],
Diffusion runs low on persistence fast,
ICCV11(423-430).
IEEE DOI
1201
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Hidane, M.,
Lézoray, O.[Olivier],
El Moataz, A.,
A scale-space based hierarchical representation of discrete data,
ICIP11(285-288).
IEEE DOI
1201
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Yang, J.[Jimei],
Safar, S.[Simon],
Yang, M.H.[Ming-Hsuan],
Max-Margin Boltzmann Machines for Object Segmentation,
CVPR14(320-327)
IEEE DOI
1409
Boltzmann Machines
BibRef
Tsai, Y.H.[Yi-Hsuan],
Yang, J.[Jimei],
Yang, M.H.[Ming-Hsuan],
Decomposed Learning for Joint Segmentation and Categorization,
BMVC13(xx-yy).
DOI Link
1402
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And: A2, A3, Only:
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Locality,
BMVC11(xx-yy).
HTML Version.
1110
See also Learning structured visual dictionary for object tracking.
BibRef
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Lalibertea, A.S.[Andrea S.],
Rangoa, A.[Albert],
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GEOBIA10(xx-yy).
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Paris, S.[Sebastien],
Glotin, H.[Herve],
Pyramidal Multi-level Features for the Robot Vision@ICPR 2010 Challenge,
ICPR10(2949-2952).
IEEE DOI
1008
2 hierarchical features.
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Li, H.[Hao],
Peng, Y.X.[Yu-Xin],
Effective Multi-level Image Representation for Image Categorization,
ICPR10(1048-1051).
IEEE DOI
1008
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Dai, D.X.[Deng-Xin],
Yang, W.[Wen],
Wu, T.F.[Tian-Fu],
Three-layer Spatial Sparse Coding for Image Classification,
ICPR10(613-616).
IEEE DOI
1008
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Nilufar, S.[Sharmin],
Ray, N.[Nilanjan],
Zhang, H.[Hong],
Object Detection With DoG Scale-Space: A Multiple Kernel Learning
Approach,
IP(21), No. 8, August 2012, pp. 3744-3756.
IEEE DOI
1208
BibRef
And:
Wavelet subband-based steam detection by multiple kernel learning,
ICIP12(1153-1156).
IEEE DOI
1302
BibRef
Earlier:
Optimum kernel function design from scale space features for object
detection,
ICIP09(861-864).
IEEE DOI
0911
BibRef
Brill, M.H.,
Visual adaptation of scale and imprecision in a noisy world,
AIPR04(28-32).
IEEE DOI
0410
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Hirano, Y.[Yuta],
Imiya, A.[Atsushi],
Scale-Space Clustering on a Unit Hypersphere,
CAIP15(I:186-197).
Springer DOI
1511
BibRef
Sakai, T.[Tomoya],
Nishiguchi, H.[Haruhiko],
Itoh, H.[Hayato],
Imiya, A.[Atsushi],
Bifurcation of Segment Edge Curves in Scale Space,
SSVM11(302-313).
Springer DOI
1201
BibRef
Earlier: A2, A4, A1, Only:
Scale Space Hierarchy of Segments,
CAIP09(947-954).
Springer DOI
0909
BibRef
Bileschi, S.[Stanley],
Object detection at multiple scales improves accuracy,
ICPR08(1-5).
IEEE DOI
0812
BibRef
Wu, Q.[Qing],
Chen, C.[Chun],
Yu, Y.Z.[Yi-Zhou],
Wavelet-based hybrid multilinear models for multidimensional image
approximation,
ICIP08(2828-2831).
IEEE DOI
0810
BibRef
Wu, Q.[Qing],
Xia, T.[Tian],
Yu, Y.Z.[Yi-Zhou],
Hierarchical Tensor Approximation of Multidimensional Images,
ICIP07(IV: 49-52).
IEEE DOI
0709
Transform into set of signals to capture multi-scale structures.
BibRef
Derpanis, K.G.P.[Konstantinos G.P.],
Leung, E.T.H.[Erich T. H.],
Sizintsev, M.[Mikhail],
Fast Scale-Space Feature Representations by Generalized Integral Images,
ICIP07(IV: 521-524).
IEEE DOI
0709
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Unnikrishnan, R.,
Hebert, M.,
Denoising Manifold and Non-Manifold Point Clouds,
BMVC07(xx-yy).
PDF File.
0709
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Lalonde, J.F.,
Unnikrishnan, R.,
Vandapel, N.,
Hebert, M.,
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0508
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And:
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WWW Link.
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Unnikrishnan, R.[Ranjith],
Lalonde, J.F.[Jean-Francois],
Vandapel, N.[Nicolas],
Hebert, M.[Martial],
Scale Selection for the Analysis of Point-Sampled Curves,
3DPVT06(1026-1033).
IEEE DOI
0606
BibRef
And:
Scale Selection for the Analysis of Point Sampled Curves:
Extended Report,
CMU-RI-TR-06-25, June, 2006.
WWW Link.
BibRef
Chattopadhyay, S.,
Bhandarkar, S.M.,
MMR: Mask Based Multi-Resolution Images and Videos,
ICIP06(2149-2152).
IEEE DOI
0610
BibRef
Makrogiannis, S.[Sokratis],
Bourbakis, N.G.[Nikolaos G.],
Localization Scale Selection for Scale-Space Segmentation,
ICIAR05(1-8).
Springer DOI
0509
BibRef
Grazzini, J.,
Turiel, A.,
Yahia, H.,
Entropy estimation and multiscale processing in meteorological
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ICPR02(III: 764-767).
IEEE DOI
0211
BibRef
Comic, L.[Lidija],
Mesmoudi, M.M.[Mohammed Mostefa],
de Floriani, L.[Leila],
Smale-Like Decomposition and Forman Theory for Discrete Scalar Fields,
DGCI11(477-488).
Springer DOI
1104
BibRef
de Floriani, L.[Leila],
Mesmoudi, M.M.[Mohammed Mostefa],
Danovaro, E.,
A smale-like decomposition for discrete scalar fields,
ICPR02(I: 184-187).
IEEE DOI
0211
BibRef
Mühlich, M.[Matthias],
Mester, R.[Rudolf],
Subspace Methods and Equilibration in Computer Vision,
SCIA01(O-Tu4B).
0206
BibRef
Chomat, O.,
de Verdiere, V.C.[V. Colin],
Hall, D.,
Crowley, J.L.,
Local Scale Selection for Gaussian Based Description Techniques,
ECCV00(I: 117-134).
Springer DOI
0003
BibRef
Ranjan, U.S.[Uma S.],
Ramakrishnan, K.R.,
A Stochastic Scale Space for Multiscale Image Representation,
ScaleSpace99(441-446).
BibRef
9900
Winter, A.,
Maitre, H.,
Cambou, N., and
Legrand, E.,
An Original Multi-Sensor Approach to Scale-Based Image Analysis
for Aerial and Satellite Images,
ICIP97(II: 234-237).
IEEE DOI
BibRef
9700
Baldwin, B.[Bernard],
Geiger, D.[Davi], and
Hummel, R.A.[Robert A.],
Resolution-Appropriate Shape Representation,
ICCV98(460-465).
IEEE DOI
BibRef
9800
Zekri, E.[Eric],
On Shape Recovery from Scale-Space Moments on Untextured Surfaces,
SCIA97(xx-yy)
HTML Version.
9705
BibRef
Berkner, K.[Kathrin],
Reconstruction of Self-Similar Functions from Scale-Space,
ScaleSpace97(xx).
9702
BibRef
Aviad, Z.,
A Discrete Scale-Space Representation,
ICCV87(417-421).
BibRef
8700
Sporring, J.[Jon],
Weickert, J.A.,
On Generalized Entropies and Scale-Space,
ScaleSpace97(xx).
9702
BibRef
Sporring, J.,
The Entropy of Scale-Space,
ICPR96(I: 900-904).
IEEE DOI
9608
(Kobenhavns Univ. DK)
BibRef
Cesar, Jr., R.M.[Roberto Marcondes],
da Fontoura Costa, L.[Luciano],
Shape Characterization in Natural Scales By Using the
Multiscale Bending Energy,
ICPR96(I: 735-739).
IEEE DOI
9608
(IFSC, Univ. of Sao Paulo, BR)
BibRef
Chinveeraphan, S.,
Takamatsu, R.,
Sato, M.,
A Hierarchical Description of Digital Grayscale Images Based
on Image Dipoles,
ICPR96(II: 246-250).
IEEE DOI
9608
(Tokyo Institute of Technology, J)
BibRef
Kin, G.,
Sato, M.,
Scale space filtering on spherical pattern,
ICPR92(III:638-641).
IEEE DOI
9208
BibRef
Bertolino, P.[Pascal],
Montanvert, A.,
Multiresolution Segmentation Using the Irregular Pyramid,
ICIP96(I: 257-260).
IEEE DOI
BibRef
9600
Simon, B.[Benoit],
Mertes, J.Y.,
Ciblat, P.,
Macq, B.,
Local Interpolation in Multiresolution Decomposition of Images,
ICIP96(I: 287-290).
IEEE DOI
BibRef
9600
Zhao, D.,
Zhang, X.,
Morphological Multiscale Representation for Boundaries and Surfaces,
SCV95(139-144).
IEEE DOI University of Michigan-Dearborn.
MST -- morphological scale transform -- for descriptions.
BibRef
9500
Jagersand, M.[Martin],
A Scale Decomposed Information Measure in Images,
ARPA94(I:717-724).
BibRef
9400
Geiger, D., and
Kogler, Jr., J.E.,
Scaling Images and Image Features via the Renormalization Group,
CVPR93(47-53).
IEEE DOI
BibRef
9300
Kimia, B.B.,
Tannenbaum, A.,
Zucker, S.W.,
Entropy Scale-Space,
VF91(333-344).
BibRef
9100
Wada, T., and
Sato, M.,
Scale-Space Tree and Its Hierarchy,
ICPR90(II: 103-108).
IEEE DOI
BibRef
9000
Lacroix, V.,
The primary raster: a multiresolution image description,
ICPR90(I: 903-907).
IEEE DOI
9006
BibRef
Zhuang, C.,
Scale-Based Hierarchical Description and Matching of Waveforms,
ICPR88(II: 1268-1270).
IEEE DOI
BibRef
8800
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Scale Space Computation of Features .