Video Objects: A Test Database for Video Object Recognition,
2006.
Dataset, Objects.
HTML Version. 180 videos of 15 objects.
Al-Shaykh, O.K.,
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CirSysSignal(43), No. 2, February 1996, pp. 123-133.
9703
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IJCV(14), No. 1, January 1995, pp. 5-24.
Springer DOI Link
PDF Version.
BibRef
9501
Earlier:
Visual Learning Object Models from Appearance,
DARPA93(547-555).
BibRef
And:
Learning and Recognition of 3D Objects from Appearance,
WQV93(39-50).
BibRef
And:
Learning Object Models from Appearance,
AAAI-93(836-843)
Model Acquisition. A new representation that is parameterized by pose and
illumination.
BibRef
Murase, H.,
Nayar, S.K.,
Detection of 3D Objects in Cluttered Scenes
Using Hierarchical Eigenspace,
PRL(18), No. 4, April 1997, pp. 375-384.
9708
BibRef
Earlier:
Learning by a Generation Approach to Appearance-Based
Object Recognition,
ICPR96(I: 24-29).
IEEE DOI Link
9608
BibRef
Earlier:
Image Spotting of 3D Objects Using Parametric Eigenspace Representation,
SCIA95(325-332).
BibRef
Nene, S.A.,
Nayar, S.K.[Shree K.],
Murase, H.[Hiroshi],
Columbia Object Image Library (COIL-100),
ColumbiaTechnical Report CUCS-006-96, February 1996.
Postscript Version. Also:
WWW Version. Also the COIL-20 database.
WWW Version.
Dataset, Objects.
BibRef
9602
Murase, H.,
Shi, M.[Musashino],
Nayar, S.K.,
Parametric Eigenspace Representation for Visual Learning
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SPIE(2031), 1993, pp. 378-391.
BibRef
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Murase, H.[Hiroshi],
Nayar, S.K.[Shree K.], and
Nene, S.A.[Sameer A.],
Software Library for Appearance Matching (SLAM),
ARPA94(I:733-737).
PDF Version.
Code, Matching.
WWW Version.
BibRef
9400
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Nene, S.A.[Sameer A.],
Murase, H.,
Real-Time 100 Object Recognition System,
ARPA96(1223-1228).
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9600
And:
CRA96(III: 2321-2325).
PDF Version. Generate Eigen space representation of the object.
BibRef
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Nayar, S.K.[Shree K.],
Closest Point Search in High Dimensions,
CVPR96(859-865).
IEEE Abstract. IEEE Top Reference.
WWW Version. 100 object recognition and other applications.
BibRef
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Nene, S.A.[Sameer A.],
Murase, H.[Hiroshi],
Subspace Methods for Robot Vision,
RA(12), No. 5, October 1996, pp. 750-758.
9610
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Earlier: A3, A1, A2:
General Learning Algorithm for Robot Vision,
ARPA94(I:753-763).
System: SLAM. Software Library for Appearance Matching
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Nayar, S.K.[Shree K.],
Optimal RBF Networks for Visual Learning,
ICCV95(794-800).
IEEE DOI Link
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BibRef
9500
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Tapper, U.,
Positive matrix factorization:
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WWW Version. PCA has problems. Introduce a non-linear "PCA" process.
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Approximate Hausdorff Matching Using Eigenspaces,
ARPA96(1181-1186).
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Springer DOI Link To counter the problems of view based (eigenspace) approaches when
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Robust Recognition Using Eigenimages,
CVIU(78), No. 1, April 2000, pp. 99-118.
0004
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BibRef
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Computational complexity reduction in eigenspace approaches,
CAIP97(1-8).
WWW Version.
9709
Instead of computing coefficients with a projection of the
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0208
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HTML Version.
0208
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IEEE DOI Link
HTML Version.
0009
BibRef
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CVPR96(453-458).
IEEE Abstract. IEEE Top Reference.
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0210
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0205
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CVIU(95), No. 1, July 2004, pp. 86-104.
WWW Version.
0407
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Illumination Insensitive Eigenspaces,
ICCV01(I: 233-238).
IEEE DOI Link
0106
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3D Object Recognition and Pose with Relational Indexing,
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0008
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Earlier:
Scene Analysis Using Appearance-Based Models and Relational Indexing,
SCV95(103-108).
IEEE Top Reference. University of Washington.
Graph representations. Match with multiple objects in a scene.
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Shapiro, L.G.[Linda G.],
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CIAP95(272-280).
Springer DOI Link
9509
BibRef
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Costa, M.S.[Mauro S.],
Appearance-based 3D object recognition,
ORCV94(51-63).
Springer DOI Link
9412
BibRef
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Costa, M.S.,
Haralick, R.M.,
Shapiro, L.G.,
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0005
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SCIA97(xx-yy)
9705
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IVC(18), No. 9, June 2000, pp. 715-727.
WWW Version.
0004
BibRef
Earlier:
Active Object Recognition in Parametric Eigenspace,
BMVC98(xx-yy).
BibRef
Paletta, L.[Lucas],
Fritz, G.[Gerald],
Seifert, C.[Christin],
Perception-Action Based Object Detection from Local Descriptor
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SCIA05(639-648).
Springer DOI Link
0506
BibRef
And:
Cascaded Sequential Attention for Object Recognition with Informative
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AttenPerf05(III: 94-94).
IEEE DOI Link
0507
BibRef
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Goyal, A.,
Ogris, G.,
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Cascaded attention and grouping for object recognition from video,
CIAP03(448-453).
IEEE Abstract. IEEE Top Reference.
0310
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Object recognition using local information content,
ICPR04(II: 15-18).
IEEE DOI Link
0409
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Appearance-based object recognition using optimal feature transforms,
PR(33), No. 2, February 2000, pp. 209-224.
WWW Version.
0001
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Paulus, D.,
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VMV01(xx-yy).
PDF Version.
0209
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Paulus, D., and
Niemann, H.,
Appearance-Based Statistical Object Recognition
by Heterogenous Background and Occlusions,
DAGM01(254-261).
Postscript Version.
BibRef
0100
Reinhold, M.P.[Michael P.],
Grzegorzek, M.[Marcin],
Denzler, J.[Joachim],
Niemann, H.[Heinrich],
Appearance-based recognition of 3-D objects by cluttered background and
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PR(38), No. 5, May 2005, pp. 739-753.
WWW Version.
0501
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Niemann, H.[Heinrich],
Statistical Object Recognition Including Color Modeling,
ICIAR05(481-489).
Springer DOI Link
0509
BibRef
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Hancock, E.R.[Edwin R.],
Object Recognition Using Shape-from-Shading,
PAMI(23), No. 5, May 2001, pp. 535-542.
IEEE Abstract. IEEE Top Reference.
WWW Version.
0105
BibRef
Earlier:
Structural Object Recognition Using Shape-from-shading,
ICPR00(Vol I: 738-741).
IEEE DOI Link
HTML Version.
0009
BibRef
And:
Histogram-based Object Recognition using Shape-from-Shading,
CVPR00(I: 643-648).
IEEE Abstract. IEEE Top Reference.
WWW Version.
0005
BibRef
Earlier:
Region-based Object Recognition using Shape-from-Shading,
ECCV00(I: 455-471).
WWW Version.
0003
Can surface topography from SfS be used for object recognition?
See also Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics.
BibRef
Worthington, P.L.[Philip L.],
Hancock, E.R.[Edwin R.],
Synthesising Appearance Manifolds using Shape-from-Shading,
SCIA01(P-W4A).
0206
BibRef
Hancock, E.R.[Edwin R.],
Worthington, P.L.[Philip L.],
Huet, B.[Benoit],
Appearance-Based Object Recognition Using Shape-From-Shading,
ICPR98(Vol I: 412-416).
IEEE DOI Link
9808
BibRef
And: A2, A3, A1:
Increased Extent of Characteristic Views using Shape-from-shading
for Object Recognition,
BMVC98(xx-yy).
BibRef
Agarwal, M.[Mohit],
Jain, G.[Gaurav],
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Indexing for local appearance-based recognition of planar objects,
PRL(23), No. 1-3, January 2002, pp. 311-317.
HTML Version.
0201
BibRef
Zhang, Z.F.M.[Zhong-Fei Mark],
Srihari, R.K.[Rohini K.],
Subspace morphing theory for appearance based object identification,
PR(35), No. 11, November 2002, pp. 2389-2396.
WWW Version.
0208
BibRef
Zhang, Z.F.[Zhong-Fei],
Srihari, R.K.[Rohini K.],
Computer based method and apparatus for object recognition,
US_Patent6,636,619, Oct 21, 2003
WWW Version.
BibRef
0310
Quick, P.[Philip],
Capson, D.W.[David W.],
Subspace position measurement in the presence of occlusion,
PRL(23), No. 14, December 2002, pp. 1721-1733.
HTML Version.
0208
Camera or object position with eigen based method.
BibRef
Stegmann, M.B.[Mikkel B.],
Larsen, R.[Rasmus],
Multi-band modelling of appearance,
IVC(21), No. 1, January 2003, pp. 61-67.
WWW Version.
0301
BibRef
Stegmann, M.B.[Mikkel B.],
Ersboll, B.K.[Bjarne K.],
Larsen, R.[Rasmus],
Fame: A flexible appearance modeling environment,
MedImg(22), No. 10, October 2003, pp. 1319-1331.
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Darkner, S.[Sune],
Larsen, R.[Rasmus],
Stegmann, M.B.[Mikkel B.],
Ersboll, B.K.[Bjarne K.],
Wedgelet Enhanced Appearance Models,
GenModel04(177).
IEEE DOI Link
0406
BibRef
Larsen, R.[Rasmus],
Stegmann, M.B.[Mikkel B.],
Darkner, S.[Sune],
Forchhammer, S.[Soren],
Cootes, T.F.[Timothy F.],
Ersboll, B.K.[Bjarne Kjaer],
Texture enhanced appearance models,
CVIU(106), No. 1, April 2007, pp. 20-30.
WWW Version.
0704
Registration; Dimensionality reduction; Atlases; Deformable models;
Active appearance models; Wavelets; Wedgelets; Face images
BibRef
Chen, C.S.[Chu-Song],
Hsieh, W.T.[Wen-Teng],
Chen, J.H.[Jiun-Hung],
Panoramic Appearance-Based Recognition of Video Contents Using Matching
Graphs,
SMC-B(34), No. 1, February 2004, pp. 179-199.
IEEE Abstract. IEEE Top Reference.
0403
BibRef
Chen, C.S.[Chu-Song],
Chen, J.H.[Jiun-Hung],
Hsieh, W.T.[Wen-Teng],
A dynamic programming approach for appearance-based recognition of
environments,
ICPR02(II: 893-896).
IEEE DOI Link
0211
BibRef
Min, W.[Wanli],
Lu, K.[Ke],
He, X.F.[Xiao-Fei],
Locality pursuit embedding,
PR(37), No. 4, April 2004, pp. 781-788.
WWW Version.
0403
Linear embedding that respects the local geometrical structure
described by the Euclidean distances.
Rather than PCA for dimensionality reduction.
BibRef
Chen, J.H.[Jiun-Hung],
Chen, C.S.[Chu-Song],
Object Recognition Based on Image Sequences by Using Inter-Feature-Line
Consistencies,
PR(37), No. 9, September 2004, pp. 1913-1923.
WWW Version.
0407
BibRef
Earlier:
Using Inter-feature-Line Consistencies for Sequence-Based Object
Recognition,
ECCV04(Vol I: 108-120).
WWW Version.
0405
Appearance-based recognition in sequences.
Derived from nearest feature line.
See also Performance Evaluation of the Nearest Feature Line Method in Image Classification and Retrieval.
BibRef
Bicego, M.[Manuele],
Castellani, U.[Umberto],
Murino, V.[Vittorio],
A Hidden Markov Model approach for appearance-based 3D object
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PRL(26), No. 16, December 2005, pp. 2588-2599.
WWW Version.
0512
BibRef
van de Weijer, J.,
Gevers, T.,
Smeulders, A.W.M.,
Robust Photometric Invariant Features From the Color Tensor,
IP(15), No. 1, January 2006, pp. 118-127.
IEEE DOI Link
0601
BibRef
Pham, T.V.[Thang V.], and
Smeulders, A.W.M.[Arnold W.M.],
Sparse Representation for Coarse and Fine Object Recognition,
PAMI(28), No. 4, April 2006, pp. 555-567.
IEEE DOI Link
0604
Object appearence using a dictionary of Gaussian differential
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Adding new objects does not require retraining old objects.
BibRef
Autio, I.[Ilkka],
Using natural class hierarchies in multi-class visual classification,
PR(39), No. 7, July 2006, pp. 1290-1299.
WWW Version.
0606
Multi-object recognition; Hierarchic object recognition;
Efficient object recognition
BibRef
Verbeek, J.[Jakob],
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear
Models,
PAMI(28), No. 8, August 2006, pp. 1236-1250.
IEEE DOI Link
0606
Appearence based models.
BibRef
Zivkovic, Z.[Zoran],
Verbeek, J.[Jakob],
Transformation invariant component analysis for binary images,
CVPR06(I: 254-259).
IEEE DOI Link
0606
BibRef
Khabou, M.A.,
Hermi, L.,
Rhouma, M.B.H.,
Shape recognition using eigenvalues of the Dirichlet Laplacian,
PR(40), No. 1, January 2007, pp. 141-153.
WWW Version.
0611
Shape recognition; Eigenvalues; Laplacian; Fixed membrane problem;
Dirichlet boundary condition; Neural networks
BibRef
Choi, H.[Heeyoul],
Choi, S.[Seungjin],
Robust kernel Isomap,
PR(40), No. 3, March 2007, pp. 853-862.
WWW Version.
0611
Isomap; Kernel PCA; Manifold learning; Multidimensional scaling (MDS); Nonlinear dimensionality reduction
BibRef
Nasios, N.[Nikolaos],
Bors, A.G.[Adrian G.],
Kernel-based classification using quantum mechanics,
PR(40), No. 3, March 2007, pp. 875-889.
WWW Version.
0611
Kernel density estimation; Nonparametric modelling; Quantum mechanics;
Vector field segmentation
BibRef
Bishnu, A.[Arijit],
Bhattacharya, B.B.,
Stacked Euler Vector (SERVE): A Gray-Tone Image Feature Based on
Bit-Plane Augmentation,
PAMI(29), No. 2, February 2007, pp. 350-355.
IEEE DOI Link
0701
SERVE is a four-tuple, each integer representing the Euler number
of the partial binary image formed by pixel overlap relations
among the four most significant bit planes of the gray-tone image.
Apply to
See also Columbia Object Image Library (COIL-100).
BibRef
Sun, T.[Tingkai],
Chen, S.C.[Song-Can],
Locality preserving CCA with applications to data visualization and
pose estimation,
IVC(25), No. 5, 1 May 2007, pp. 531-543.
WWW Version.
0703
Canonical correlation analysis (CCA); Locality preservation;
Pose estimation; Data visualization; Dimensionality reduction
CCA (for dimensionality reduction) applied to image recognition.
BibRef
Vik, T.[Torbjorn],
Heitz, F.[Fabrice],
Charbonnier, P.[Pierre],
Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of
Appearance Subspaces,
PAMI(29), No. 5, May 2007, pp. 901-905.
IEEE DOI Link
0704
Appearence model generalizes the Gaussian subspace model to
non-Gaussian and nonparametric distributions.
BibRef
Dahyot, R.[Rozenn],
Charbonnier, P.[Pierre],
Heitz, F.[Fabrice],
Robust Visual Recognition of Color Images,
CVPR00(I: 685-690).
IEEE Abstract. IEEE Top Reference.
WWW Version.
0005
BibRef
Wang, X.[Xuan],
Xiao, B.[Bin],
Ma, J.F.[Jian-Feng],
Bi, X.L.[Xiu-Li],
Scaling and rotation invariant analysis approach to object recognition
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PR(40), No. 12, December 2007, pp. 3503-3508.
WWW Version.
0709
Radon, then Fourier-Mellin. To get invariants.
Radon transform; Pattern recognition; Fourier-Mellin transform;
Invariant analysis
BibRef
Mansur, A.[Al],
Kuno, Y.[Yoshinori],
Specific and Class Object Recognition for Service Robots through
Autonomous and Interactive Methods,
IEICE(E91-D), No. 6, June 2008, pp. 1793-1803.
WWW Version.
0806
BibRef
Mansur, A.[Al],
Sakata, K.[Katsutoshi],
Das, D.[Dipankar],
Kuno, Y.[Yoshinori],
Recognition of Plain Objects Using Local Region Matching,
IEICE(E91-D), No. 7, July 2008, pp. 1906-1913.
WWW Version.
0807
BibRef
Earlier: A1, A2, A4, Only:
Recognition of Household Objects by Service Robots Through Interactive
and Autonomous Methods,
ISVC07(II: 140-151).
Springer DOI Link
0711
BibRef
Das, D.[Dipankar],
Kobayashi, Y.[Yoshinori],
Kuno, Y.[Yoshinori],
Multiple Object Category Detection and Localization Using Generative
and Discriminative Models,
IEICE(E92-D), No. 10, October 2009, pp. 2112-2121.
WWW Version.
0910
BibRef
Das, D.[Dipankar],
Mansur, A.[Al],
Kobayashi, Y.[Yoshinori],
Kuno, Y.[Yoshinori],
An Integrated Method for Multiple Object Detection and Localization,
ISVC08(II: 133-144).
Springer DOI Link
0812
BibRef
Mansur, A.[Al],
Kuno, Y.[Yoshinori],
Improving Recognition through Object Sub-categorization,
ISVC08(II: 851-859).
Springer DOI Link
0812
BibRef
Mansur, A.[Al],
Hossain, M.A.[Mohammed Altab],
Kuno, Y.[Yoshinori],
Integration of Multiple Methods for Class and Specific Object
Recognition,
ISVC06(I: 841-849).
Springer DOI Link
0611
BibRef
Kurnia, R.[Rahmadi],
Hossain, M.A.[Mohammed Altab],
Kuno, Y.[Yoshinori],
Use of Spatial Reference Systems in Interactive Object Recognition,
CRV06(62-62).
IEEE DOI Link
0607
BibRef
Hossain, M.A.[Mohammed Altab],
Kurnia, R.[Rahmadi],
Nakamura, A.[Akio],
Kuno, Y.[Yoshinori],
Interactive Object Recognition through Hypothesis Generation and
Confirmation,
IEICE(E89-D), No. 7, July 2006, pp. 2197-2206.
WWW Version.
0607
BibRef
Hossain, M.A.[Mohammed Altab],
Kurnia, R.[Rahmadi],
Kuno, Y.[Yoshinori],
Geometric and Photometric Analysis for Interactively Recognizing
Multicolor or Partially Occluded Objects,
ISVC05(134-142).
Springer DOI Link
0512
BibRef
Agarwal, A.[Ankur],
Triggs, B.[Bill],
Multilevel Image Coding with Hyperfeatures,
IJCV(78), No. 1, June 2008, pp. 15-27.
Springer DOI Link
0803
BibRef
Earlier:
Hyperfeatures: Multilevel Local Coding for Visual Recognition,
ECCV06(I: 30-43).
Springer DOI Link
0608
BibRef
And:
INRIARR-5655, 2005.
HTML Version. Hierarchical local appearance models.
BibRef
Wilson, R.C.[Richard C.],
Zhu, P.[Ping],
A study of graph spectra for comparing graphs and trees,
PR(41), No. 9, September 2008, pp. 2833-2841.
WWW Version.
0806
BibRef
Earlier: A2, A1:
A Study of Graph Spectra for Comparing Graphs,
BMVC05(xx-yy).
HTML Version.
0509
BibRef
And: A2, A1:
Stability of the Eigenvalues of Graphs,
CAIP05(371).
Springer DOI Link
0509
Graph matching; Tree matching; Shape representation; Spectrum; Features
BibRef
Sidibe, D.[Desire],
Montesinos, P.[Philippe],
Janaqi, S.[Stefan],
Matching Local Invariant Features with Contextual Information:
An Experimental Evaluation,
ELCVIA(7), No. 1, November 2008, pp. 26-39.
WWW Version.
0903
BibRef
Pinz, A.J.[Axel J.],
Bischof, H.[Horst],
Kropatsch, W.G.[Walter G.],
Schweighofer, G.[Gerald],
Haxhimusa, Y.[Yll],
Opelt, A.[Andreas],
Ion, A.[Adrian],
Representations for Cognitive Vision:
A Review of Appearance-Based, Spatio-Temporal, and Graph-Based Approaches,
ELCVIA(7), No. 2, 2008, pp. xx.
WWW Version.
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Li, J.[Jian],
Zhou, S.H.K.[Shao-Hua Kevin],
Chellappa, R.[Rama],
Appearance Modeling Using a Geometric Transform,
IP(18), No. 4, April 2009, pp. 889-902.
IEEE DOI Link
0903
BibRef
Earlier:
Appearance Modeling Under Geometric Context,
ICCV05(II: 1252-1259).
IEEE DOI Link
0510
Model the parts. Other techniques become a subset of this method.
BibRef
Laptev, I.[Ivan],
Improving object detection with boosted histograms,
IVC(27), No. 5, 2 April 2009, pp. 535-544.
Elsevier DOI Link
WWW Version.
0904
BibRef
Earlier:
Improvements of Object Detection Using Boosted Histograms,
BMVC06(III:949).
PDF Version.
0609
Object recognition; Machine learning; Histogram image features
Recognize objects in a class.
histograms of features in local regions.
BibRef
Chen, D.T.[Da-Tong],
Liu, Q.A.[Qi-Ang],
Sun, M.[Mingui],
Yang, J.[Jie],
Mining Appearance Models Directly From Compressed Video,
MultMed(10), No. 2, February 2008, pp. 268-276.
IEEE DOI Link
0905
BibRef
Koppal, S.J.[Sanjeev J.],
Narasimhan, S.G.[Srinivasa G.],
Appearance Derivatives for Isonormal Clustering of Scenes,
PAMI(31), No. 8, August 2009, pp. 1375-1385.
IEEE DOI Link
0906
BibRef
Earlier:
Clustering Appearance for Scene Analysis,
CVPR06(II: 1323-1330).
IEEE DOI Link
0606
Scene points clustered by surface normals even when geometry, material,
lighting are unknown.
BibRef
Liu, G.C.[Guang-Can],
Lin, Z.C.[Zhou-Chen],
Yu, Y.[Yong],
Multi-output regression on the output manifold,
PR(42), No. 11, November 2009, pp. 2737-2743.
Elsevier DOI Link
WWW Version.
0907
Regression analysis; Support vector regression; Continuous structured
prediction; Manifold learning
BibRef
Gill, G.S.[Gurman S.],
Levine, M.D.[Martin D.],
Multi-view Object Detection Based on Spatial Consistency in a Low
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DAGM09(211-220).
Springer DOI Link
0909
BibRef
And:
Incorporating Shape Features in an Appearance-Based Object Detection
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CAIP09(269-276).
Springer DOI Link
0909
BibRef
Gill, G.S.[Gurman S.],
Levine, M.D.[Martin D.],
A Single Classifier for View-Invariant Multiple Object Class
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BMVC06(I:257).
PDF Version.
0609
To deal with multiple classes of objects.
Use locally linear embedding to reduce classification dimension.
BibRef
Yakhnenko, O.[Oksana],
Honavar, V.[Vasant],
Multiple label prediction for image annotation with multiple Kernel
correlation models,
VCL-ViSU09(8-15).
IEEE DOI Link
0906
To correlate text keywords with image. Uses captions.
See also Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope.
BibRef
Butzer, J.S.,
Butler, A.P.H.,
Butler, P.H.,
Bones, P.J.,
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Tlustos, L.,
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IVCNZ08(1-6).
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0811
X-ray data.
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ICPR08(1-5).
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0812
Trace transform.
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Liao, C.T.[Chia-Te],
Lai, S.H.[Shang-Hong],
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0812
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Ridge Regression for Two Dimensional Locality Preserving Projection,
ICPR08(1-4).
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0812
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You, S.[Suya],
CDIKP: A highly-compact local feature descriptor,
ICPR08(1-4).
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0812
SIFT combined with projection
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Mei, G.B.[Guo-Biao],
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Unsupervised image embedding using nonparametric statistics,
ICPR08(1-4).
IEEE DOI Link
0812
into low dimensional space
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Chaudhury, S.[Santanu],
Srivastava1, J.B.,
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ICPR08(1-4).
IEEE DOI Link
0812
BibRef
Kawabata, S.[Satoshi],
Hiura, S.[Shinsaku],
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ICPR08(1-4).
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0812
BibRef
Ding, L.[Lei],
Bai, X.L.[Xiao-Le],
Adaptive Laplacian eigenfunctions as bases for regression analysis,
ICPR08(1-4).
IEEE DOI Link
0812
BibRef
Gong, D.[Dian],
Zhao, X.M.[Xue-Mei],
Yang, Q.[Qiong],
Sparse Non-negative Pattern Learning for image representation,
ICIP08(981-984).
IEEE DOI Link
0810
Patterns are learned, features are extracted then used for representation.
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He, Z.C.[Zhou-Can],
Wang, Q.[Qing],
A Fast and Effective Dichotomy Based Hash Algorithm for Image Matching,
ISVC08(I: 328-337).
Springer DOI Link
0812
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Xu, Y.L.[Yi-Lei],
Roy-Chowdhury, A.K.[Amit K.],
A theoretical analysis of linear and multi-linear models of image
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0806
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Xu, Y.L.[Yi-Lei],
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Learning a geometry integrated image appearance manifold from a small
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CVPR08(1-8).
IEEE DOI Link
0806
BibRef
Chen, W.A.[Wen-An],
Zhang, H.B.[Hong-Bin],
The Condition of Kernelizing an Algorithm and an Equivalence Between
Kernel Methods,
IbPRIA07(I: 338-345).
Springer DOI Link
0706
E.g. kernel pca.
BibRef
Basri, R.[Ronen],
Hassner, T.[Tal],
Zelnik-Manor, L.[Lihi],
Approximate Nearest Subspace Search with Applications to Pattern
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CVPR07(1-8).
IEEE DOI Link
0706
Rather than the exact subspace.
BibRef
Wolf, L.[Lior],
Jhuang, H.H.[Huei-Han],
Hazan, T.[Tamir],
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CVPR07(1-6).
IEEE DOI Link
0706
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de la Torre, F.[Fernando],
A Least-Squares Unified View of PCA, LDA, CCA and
Spectral Graph Methods,
CMU-RI-TR-08-29, May, 2008
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0805
de la Torre, F.[Fernando],
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ICPR08(1-1).
IEEE DOI Link
0812
BibRef
de la Torre, F.[Fernando],
Collet, A.[Alvaro],
Quero, M.[Manuel],
Cohn, J.F.[Jeffrey F.],
Kanade, T.[Takeo],
Filtered Component Analysis to Increase Robustness to Local Minima in
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CVPR07(1-8).
IEEE DOI Link
0706
BibRef
Felsberg, M.[Michael],
Hedborg, J.[Johan],
Real-Time Visual Recognition of Objects and Scenes Using P-Channel
Matching,
SCIA07(908-917).
Springer DOI Link
0706
Combines advantages of histograms and local linear models.
Registration.
BibRef
Kaarna, A.[Arto],
Andriyashin, A.[Alexey],
Nakauchi, S.[Shigeki],
Parkkinen, J.[Jussi],
Multiresolution Approach in Computing NTF,
SCIA07(334-343).
Springer DOI Link
0706
Non-negative tensor factorization (NTF).
Efficient computation.
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Jain, P.K.[Paresh K.],
Rao, P.K.[P. Kartik],
Jawahar, C.V.,
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ICCVGIP06(662-673).
Springer DOI Link
0612
BibRef
Kalra, M.[Manisha],
Deepti, P.,
Abhilash, R.,
Das, S.[Sukhendu],
Pose Invariant Generic Object Recognition with Orthogonal Axis
Manifolds in Linear Subspace,
ICCVGIP06(619-630).
Springer DOI Link
0612
BibRef
Jain, V.[Varun],
Zhang, H.[Hao],
Shape-Based Retrieval of Articulated 3D Models Using Spectral Embedding,
GMP06(299-312).
Springer DOI Link
0607
Shape retrieval. Embed the description in spectral domain, match there.
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Rahman, M.M.,
Merging and Generalizing Eigenspace for Partially Occluded and
Destroyed Object Recognition,
ICIP06(2729-2732).
0610
IEEE DOI Link
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Gonzalez-Mora, J.[Jose],
Guil, N.[Nicolas],
Zapata, E.L.[Emilio L.],
Tracking of Linear Appearance Models Using Second Order Minimization,
ACIVS06(1002-1013).
Springer DOI Link
0609
BibRef
Zhang, D.Q.[Dong-Qing],
Chang, S.F.[Shih-Fu],
A Generative-Discriminative Hybrid Method for Multi-View Object
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CVPR06(II: 2017-2024).
IEEE DOI Link
0606
Generative model structure and appearance.
BibRef
Savarese, S.,
Winn, J.,
Criminisi, A.,
Discriminative Object Class Models of Appearance and Shape by
Correlatons,
CVPR06(II: 2033-2040).
IEEE DOI Link
0606
both appearance and shape info.
BibRef
Gheissari, N.[Niloofar],
Sebastian, T.B.[Thomas B.],
Hartley, R.I.[Richard I.],
Person Reidentification Using Spatiotemporal Appearance,
CVPR06(II: 1528-1535).
IEEE DOI Link
0606
BibRef
Zhang, Q.N.[Qian-Ni],
Izquierdo, E.[Ebroul],
A Multi-feature Optimization Approach to Object-Based Image
Classification,
CIVR06(310-319).
Springer DOI Link
0607
BibRef
Qin, L.[Lei],
Gao, W.[Wen],
Image Matching Based on A Local Invariant Descriptor,
ICIP05(III: 377-380).
IEEE DOI Link
0512
BibRef
Heiler, M.[Matthias],
Schnörr, C.[Christoph],
Controlling Sparseness in Non-negative Tensor Factorization,
ECCV06(I: 56-67).
Springer DOI Link
0608
BibRef
Heiler, M.[Matthias],
Schnörr, C.[Christoph],
Reverse-Convex Programming for Sparse Image Codes,
EMMCVPR05(600-616).
Springer DOI Link
0601
BibRef
And:
Learning Non-Negative Sparse Image Codes by Convex Programming,
ICCV05(II: 1667-1674).
IEEE DOI Link
0510
Aim to preserve local structure, unlike PCA.
See also Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values.
BibRef
He, X.F.[Xiao-Fei],
Cai, D.[Deng],
Yan, S.C.[Shui-Cheng],
Zhang, H.J.[Hong-Jiang],
Neighborhood Preserving Embedding,
ICCV05(II: 1208-1213).
IEEE DOI Link
0510
Aims to preserve local structure, unlike PCA preserving global
structure.
BibRef
Hazan, T.[Tamir],
Hardoon, R.[Roee],
Shashua, A.[Amnon],
pLSA for Sparse Arrays With Tsallis Pseudo-Additive Divergence:
Noise Robustness and Algorithm,
ICCV07(1-8).
IEEE DOI Link
0710
BibRef
Zass, R.[Ron],
Shashua, A.[Amnon],
Nonnegative Sparse PCA,
NIPS07(xx-yy).
BibRef
0700
Shashua, A.[Amnon],
Zass, R.[Ron],
Hazan, T.[Tamir],
Multi-way Clustering Using Super-Symmetric Non-negative Tensor
Factorization,
ECCV06(IV: 595-608).
Springer DOI Link
0608
BibRef
Hazan, T.[Tamir],
Polak, S.[Simon],
Shashua, A.[Amnon],
Sparse Image Coding Using a 3D Non-Negative Tensor Factorization,
ICCV05(I: 50-57).
IEEE DOI Link
0510
Generate descriptions (e.g. bases) of images.
BibRef
Plagemann, C.[Christian],
Müller, T.[Thomas],
Burgard, W.[Wolfram],
Vision-Based 3D Object Localization Using Probabilistic Models of
Appearance,
DAGM05(184).
Springer DOI Link
0509
BibRef
Montoliu, R.[Raúl],
Pla, F.[Filiberto],
Klaren, A.C.[Arnoud C.],
Illumination Intensity, Object Geometry and Highlights Invariance in
Multispectral Imaging,
IbPRIA05(I:36).
Springer DOI Link
0509
BibRef
Söderberg, R.[Robert],
Nordberg, K.[Klas],
Granlund, G.H.[Gösta H.],
An Invariant and Compact Representation for Unrestricted Pose
Estimation,
IbPRIA05(I:3).
Springer DOI Link
0509
BibRef
Nordberg, K.,
Granlund, G.H.,
Knutsson, H.,
Representation and learning of invariance,
ICIP94(II: 585-589).
IEEE DOI Link
9411
BibRef
Xu, D.[Dong],
Yan, S.C.[Shui-Cheng],
Zhang, L.[Lei],
Zhang, H.J.[Hong-Jiang],
Liu, Z.K.[Zheng-Kai],
Shum, H.Y.[Heung-Yeung],
Concurrent Subspaces Analysis,
CVPR05(II: 203-208).
IEEE DOI Link
0507
Encoding image objects as 2nd or even higher order tensors.
Performance better than PCA.
BibRef
Pless, R.[Robert],
Differential Structure in non-Linear Image Embedding Functions,
Non-Rigid04(10).
HTML Version.
0502
BibRef
Earlier:
Image spaces and video trajectories: Using isomap to explore video
sequences,
ICCV03(1433-1440).
IEEE DOI Link
0311
Video as a space of possible images and a path through that space.
Mappings (isomap) with deformations.
BibRef
Kim, H.[Hyundo],
Murphy-Chutorian, E.[Erik],
Triesch, J.[Jochen],
Semi-autonomous Learning of Objects,
V4HCI06(145).
IEEE DOI Link
0609
BibRef
Chen, H.J.[Huei-Ju],
Lee, K.C.[Kuang-Chih],
Murphy-Chutorian, E.[Erik],
Triesch, J.[Jochen],
Toward a Unified Probabilistic Framework for Object Recognition and
Segmentation,
ISVC05(108-117).
Springer DOI Link
0512
BibRef
Murphy-Chutorian, E.[Erik],
Triesch, J.[Jochen],
Shared Features for Scalable Appearance-Based Object Recognition,
WACV05(I: 16-21).
WWW Version.
0502
BibRef
Thuresson, J.[Johan],
Carlsson, S.[Stefan],
Appearance Based Qualitative Image Description for Object Class
Recognition,
ECCV04(Vol II: 518-529).
WWW Version.
0405
Recognize classes of objects rather than individual instances.
BibRef
Gvili, Y.[Yaron],
Sochen, N.A.[Nir A.],
A Complete System of Measurement Invariants for Abelian Lie
Transformation Groups,
ScaleSpace03(72-85).
HTML Version.
0310
Build on steerable filters.
BibRef
Grimes, D.B.,
Shon, A.P.,
Rao, R.P.N.,
Probabilistic bilinear models for appearance-based vision,
ICCV03(1478-1485).
IEEE DOI Link
0311
BibRef
Rao, R.P.N.,
Dynamic Appearance-Based Recognition,
CVPR97(540-546).
IEEE Abstract. IEEE Top Reference.
WWW Version.
9704
Recognize with occlusions
BibRef
Ababsa, F.,
Roussel, D.,
Mallem, M.,
Photometric Aspects: A New Approach For 3D Free Form Object
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AVSBS03(131-136).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Kinoshenko, D.[Dmitry],
Mashtalir, V.[Vladimir],
Orlov, A.[Alexander],
Yegorova, E.[Elena],
Method of Creating of Functional Invariants under One-Parameter
Geometric Image Transformations,
DAGM03(68-75).
HTML Version.
0310
BibRef
Morency, L.P.,
Rahimi, A.,
Darrell, T.J.,
Adaptive view-based appearance models,
CVPR03(I: 803-810).
IEEE Abstract. IEEE Top Reference.
0307
BibRef
Kitamoto, A.,
Fractional component analysis (FCA) for mixed signals,
ICPR02(III: 383-386).
IEEE DOI Link
0211
BibRef
Deselaers, T.[Thomas],
Keysers, D.[Daniel],
Paredes, R.[Roberto],
Vidal, E.[Enrique],
Ney, H.[Hermann],
Local Representations for Multi-object Recognition,
DAGM03(305-312).
HTML Version.
HTML Version.
0310
See also Deformation Models for Image Recognition.
BibRef
Keysers, D.[Daniel],
Motter, M.[Michael],
Deselaers, T.[Thomas],
Ney, H.[Hermann],
Training and Recognition of Complex Scenes Using a Holistic Statistical
Model,
DAGM03(52-59).
HTML Version.
0310
BibRef
Deselaers, T.[Thomas],
Keysers, D.[Daniel],
Ney, H.[Hermann],
Features for Image Retrieval: A Quantitative Comparison,
DAGM04(228-236).
WWW Version.
0505
Image Database.
BibRef
And:
Classification error rate for quantitative evaluation of content-based
image retrieval systems,
ICPR04(II: 505-508).
IEEE DOI Link
0409
BibRef
Keysers, D.,
Och, F.J.,
Ney, H.,
Maximum Entropy and Gaussian Models for Image Object Recognition,
DAGM02(498 ff.).
HTML Version.
0303
BibRef
Garg, G.,
Sharma, P.K.,
Chaudhury, S.,
Chowdhury, R.,
An appearance based approach for video object extraction and
representation,
ICPR02(II: 536-539).
IEEE DOI Link
0211
BibRef
Chennubhotla, C.,
Jepson, A.D.,
Midgley, J.,
Robust contrast-invariant eigendetection,
ICPR02(II: 745-748).
IEEE DOI Link
0211
BibRef
Haasdonk, B.,
Vossen, A.,
Burkhardt, H.,
Invariance in Kernel Methods by Haar-Integration Kernels,
SCIA05(841-851).
Springer DOI Link
0506
BibRef
Haasdonk, B.,
Halawani, A.,
Burkhardt, H.,
Adjustable Invariant Features by Partial Haar-Integration,
ICPR04(II: 769-774).
IEEE DOI Link
0409
BibRef
Shashua, A.,
Levin, A.,
Avidan, S.,
Manifold pursuit: a new approach to appearance based recognition,
ICPR02(III: 590-594).
IEEE DOI Link
0211
BibRef
Liu, X.W.[Xiu-Wen],
Srivastava, A.,
Spaces and subspaces of images for recognition,
ICIP02(III: 313-316).
IEEE Abstract. IEEE Top Reference.
0210
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Fukui, K.[Kazuhiro],
Stenger, B.[Björn],
Yamaguchi, O.[Osamu],
A Framework for 3D Object Recognition Using the Kernel Constrained
Mutual Subspace Method,
ACCV06(II:315-324).
Springer DOI Link
0601
map input into feature space. Project onto kernel subspace.
BibRef
Fukui, K.[Kazuhiro],
Yamaguchi, O.[Osamu],
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D
Object Recognition,
ACCV07(II: 467-476).
Springer DOI Link
0711
BibRef
Yamaguchi, O.[Osamu],
Fukui, K.[Kazuhiro],
Pattern hashing: Object recognition based on a distributed local
appearance model,
ICIP02(III: 329-332).
IEEE Abstract. IEEE Top Reference.
0210
BibRef
Wu, J.N.[Jia-Ning],
Fukui, K.[Kazuhiro],
Multiple view based 3D object classification using ensemble learning of
local subspaces,
ICPR08(1-4).
IEEE DOI Link
0812
BibRef
Niigaki, H.[Hitoshi], and
Fukui, K.[Kazuhiro],
Classification of Similar 3D Objects with Different Types of Features
from Multi-view Images:
An Approach to Classify 100 Apples,
PSIVT09(1046-1057).
Springer DOI Link
0901
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BibRef
Sanei, S.,
Lee, T.K.,
Bayesian classification of eigencells,
ICIP02(II: 929-932).
IEEE Abstract. IEEE Top Reference.
0210
BibRef
Mae, Y.,
Umetani, T.,
Arai, T.,
Inoue, K.,
Object Recognition Using Appearance Models Accumulated Into Environment,
ICPR00(Vol IV: 845-848).
IEEE DOI Link
HTML Version.
0009
Blocks.
BibRef
Romdhani, S.,
Psarrou, A.,
Gong, S.,
On Utilising Template and Feature-based Correspondence in Multi-view
Appearance Models,
ECCV00(I: 799-813).
WWW Version.
0003
BibRef
Jugessur, D.[Deeptiman],
Dudek, G.[Gregory],
Local Appearance for Robust Object Recognition,
CVPR00(I: 834-839).
IEEE Abstract. IEEE Top Reference.
WWW Version.
0005
BibRef
Schiele, B.[Brent],
Pentland, A.P.,
Probabilistic Object Recognition and Localization,
ICCV99(177-182).
IEEE DOI Link
BibRef
9900
And:
Vismod--499, March 1999.
Postscript Version. Represent objects by joint statistics of local operators.
BibRef
Hadjidemetriou, E.[Efstathios],
Nayar, S.K.[Shree K.],
Appearance Matching with Partial Data,
DARPA98(1071-1078).
BibRef
9800
Matas, J.,
Burianek, J.,
Kittler, J.V.,
Object Recognition using the Invariant Pixel-Set Signature,
BMVC00(xx-yy).
PDF Version.
0009
BibRef
Matas, J.[Jiri],
Reiter, M.[Michael],
Object-Detection with a Varying Number of Eigenspace Projections,
ICPR98(Vol I: 759-761).
IEEE DOI Link
9808
BibRef
Basri, R.[Ronen],
Roth, D.[Dan],
Jacobs, D.W.[David W.],
Clustering Appearances of 3D Objects,
CVPR98(414-420).
IEEE Abstract. IEEE Top Reference.
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9800
Verly, J.G.,
Delanoy, R.L.,
Appearance-Model-Based Representation and Matching of 3-D Objects,
ICCV90(248-256).
IEEE DOI Link
BibRef
9000
Molina-Gamez, M.,
Subirana-Vilanova, J.B.,
Sparse Groups:
A Polynomial Middle-Level Approach for Object Recognition,
ICPR96(I: 518-522).
IEEE DOI Link
9608
(Autonomous Univ. of Barcelona, E)
BibRef
Subirana-Vilanova, J.B.[J. Brian],
Contour Texture and Frame Curves for the Recognition of
Non-Rigid Objects,
MDSG94(393)
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9400
Subirana-Vilanova, J.B.[J. Brian],
Mid-Level Vision and Recognition of Non-Rigid Objects,
MIT AI-TR-1442, January, 1993.
WWW Version.
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9301
Huang, C.Y.[Chien-Yuan],
Camps, O.I.[Octavia I.],
Kanungo, T.[Tapas],
Object Representation Using Appearance-based Parts and Relations,
UMD--TR3979, January 1999.
WWW Version.
WWW Version.
BibRef
9901
Earlier:
Object Recognition Using Appearance Based Parts and Relations,
CVPR97(877-883).
IEEE Abstract. IEEE Top Reference.
WWW Version.
9704
BibRef
Camps, O.I.[Octavia I.],
Huang, C.Y.[Chien-Yuan],
Kanungo, T.[Tapas],
Hierarchical Organization of Appearance Based Parts and Relations
for Object Recognition,
CVPR98(685-691).
IEEE Abstract. IEEE Top Reference.
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9800
Vitriá, J.[Jordi],
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Binefa, X.[Xavier],
EigenHistograms: Using Low Dimensional Models of Color Distribution for
Real Time Object Recognition,
CAIP99(17-24).
WWW Version.
9909
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Ignasiak, K.[Krystian],
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Ghuwar, M.[Miloud],
Invariant Reference Points Methodology and Applications,
CAIP99(259-266).
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9909
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Skarbek, W.[Wladyslaw],
Ghuwar, M.[Miloud],
Ignasiak, K.[Krystian],
Local subspace method for pattern recognition,
CAIP97(527-534).
WWW Version.
9709
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de Verdière, V.C.[Vincent Colin],
Crowley, J.L.[James L.],
Visual Recognition Using Local Appearance,
ECCV98(I: 640).
WWW Version.
BibRef
9800
Sochen, N.A., and
Zeevi, Y.Y.,
Representation of colored images by manifolds
embedded in higher dimensional non-Euclidean space,
ICIP98(I: 166-170).
IEEE DOI Link
9810
BibRef
Bichsel, M.,
Illumination invariant object recognition,
ICIP95(III: 620-623).
IEEE DOI Link
9510
BibRef
Lei, T.H.[Tian-Hu],
Sewchand, W.,
Eigenstructure approach to region detection and segmentation,
ICIP94(III: 456-459).
IEEE DOI Link
9411
BibRef
Stone, J.V.[James V.],
Learning Spatio-Temporal Invariances,
BMVC94(xx-yy).
PDF Version.
9409
BibRef
Tian, Q.,
Fainman, Y.,
Lee, S.H.,
Comparison of eigenvector-based pattern recognition algorithms for
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ICPR88(I: 547-549).
IEEE DOI Link
8811
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Active Appearance Models - AAM .