13.4 Object Recognition, General Techniques

Chapter Contents (Back)
Object Recognition. Matching, Recognition. Recognition papers are scattered throughout the matching sections, these are where matching is primarily geared to recognition -- i.e. with larger databases, representations for recognition, etc.


13.4.1 Invariants -- Eigen Representations, General Appearance Based Methods

Chapter Contents (Back)
Object Recognition. Matching, Regions. Matching, Eigen Values. Eigen Value. Appearance Based.

Video Objects: A Test Database for Video Object Recognition,
2006. Dataset, Objects.
HTML Version. 180 videos of 15 objects.

Al-Shaykh, O.K., Doherty, J.F.,
Invariant Image-Analysis Based on Radon-Transform and SVD,
CirSysSignal(43), No. 2, February 1996, pp. 123-133. 9703
SVD. BibRef

Murase, H., and Nayar, S.K.,
Visual Learning And Recognition Of 3-D Objects From Appearance,
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 and Recognition,
SPIE(2031), 1993, pp. 378-391. BibRef 9300

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

Nayar, S.K.[Shree K.], Nene, S.A.[Sameer A.], Murase, H.,
Real-Time 100 Object Recognition System,
ARPA96(1223-1228). BibRef 9600
And: CRA96(III: 2321-2325).
PDF Version. Generate Eigen space representation of the object. BibRef

Nene, S.A.[Sameer A.], 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 9600

Nayar, S.K.[Shree K.], Nene, S.A.[Sameer A.], Murase, H.[Hiroshi],
Subspace Methods for Robot Vision,
RA(12), No. 5, October 1996, pp. 750-758. 9610
BibRef
Earlier: A3, A1, A2:
General Learning Algorithm for Robot Vision,
ARPA94(I:753-763). System: SLAM. Software Library for Appearance Matching BibRef

Mukherjee, S.[Sayan], Nayar, S.K.[Shree K.],
Optimal RBF Networks for Visual Learning,
ICCV95(794-800).
IEEE DOI Link
WWW Version. BibRef 9500

Paatero, P., and Tapper, U.,
Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values,
Environmetrics(5), 1994, 111-126. BibRef 9400

Flusser, J.,
Object Matching by Means of Matching Likelihood Coefficients,
PRL(16), 1995, pp. 893-900. BibRef 9500

Chalmond, B.[Bernard], Girard, S.C.[Stephane C.],
Nonlinear Modeling of Scattered Multivariate Data and Its Application to Shape Change,
PAMI(21), No. 5, May 1999, pp. 422-432.
IEEE Abstract. IEEE Top Reference.
WWW Version. PCA has problems. Introduce a non-linear "PCA" process. BibRef 9905

Huttenlocher, D.P., Lilien, R.H., Olson, C.F.,
View-Based Recognition Using an Eigenspace Approximation to the Hausdorff Measure,
PAMI(21), No. 9, September 1999, pp. 951-955.
IEEE Abstract. IEEE Top Reference.
WWW Version.
PDF Version.
PDF Version. BibRef 9909
Earlier:
Approximate Hausdorff Matching Using Eigenspaces,
ARPA96(1181-1186). BibRef
And:
Object Recognition Using Subspace Methods,
ECCV96(I:536-545).
Springer DOI Link To counter the problems of view based (eigenspace) approaches when there are occlusions, an eigenspace approximation to the Hausdorff measure. Applies to edge maps. BibRef

Leonardis, A.[Ales], Bischof, H.[Horst],
Robust Recognition Using Eigenimages,
CVIU(78), No. 1, April 2000, pp. 99-118. 0004

WWW Version. BibRef
Earlier:
Computational complexity reduction in eigenspace approaches,
CAIP97(1-8).
WWW Version. 9709
Instead of computing coefficients with a projection of the data onto the eigenimages, extract them with a hypothesize-and-test using subsets of image points. Select from compteing hypotheses using the MDL principle. See also Efficient MDL-Based Construction of RBF Networks, An. BibRef

Bischof, H.[Horst], Leonardis, A.[Ales],
Robust Recognition of Scaled Eigenimages Through a Hierarchical Approach,
CVPR98(664-670).
IEEE Abstract. IEEE Top Reference. Estimate both the scale of the object and the coefficients of the eigenimages. BibRef 9800

Leonardis, A.[Ales], Bischof, H.[Horst], Maver, J.[Jasna],
Multiple eigenspaces,
PR(35), No. 11, November 2002, pp. 2613-2627.
WWW Version. 0208
BibRef

Maver, J.[Jasna], Leonardis, A.[Ales],
Recognizing 2-tone images in grey-level parametric eigenspaces,
PRL(23), No. 14, December 2002, pp. 1631-1640.
HTML Version. 0208
BibRef

Leonardis, A.[Ales], Bischof, H.[Horst],
Multiple Eigenspaces by MDL,
ICPR00(Vol I: 233-237).
IEEE DOI Link
HTML Version. 0009
BibRef

Leonardis, A.[Ales], Bischof, H.[Horst],
Robust Recovery of Eigneimages in the Presence of Outliers and Occlusions,
JCIT(4), No. 1, 1996, pp. 25-36. BibRef 9600
Earlier:
Dealing with Occlusions in the Eigenspace Approach,
CVPR96(453-458).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef

Sengel, M., Berger, M., Kravtchenko-Berejnoi, V., Bischof, H.,
Fast object recognition and pose determination,
ICIP02(III: 349-352).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Skoaj, D., Bischof, H., Leonardis, A.,
A Robust PCA Algorithm for Building Representations from Panoramic Images,
ECCV02(IV: 761 ff.).
HTML Version. 0205
BibRef

Bischof, H.[Horst], Wildenauer, H.[Horst], Leonardis, A.[Ales],
Illumination insensitive recognition using eigenspaces,
CVIU(95), No. 1, July 2004, pp. 86-104.
WWW Version. 0407
BibRef
Earlier:
Illumination Insensitive Eigenspaces,
ICCV01(I: 233-238).
IEEE DOI Link 0106
Incorporate a gradient filter bank into the eigenspace recognition. BibRef

Costa, M.S.[Mauro S.], Shapiro, L.G.[Linda G.],
3D Object Recognition and Pose with Relational Indexing,
CVIU(79), No. 3, September 2000, pp. 364-407. 0008

WWW Version. BibRef
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. BibRef

Costa, M.S.[Mauro S.], Shapiro, L.G.[Linda G.],
Analysis of scenes containing multiple non-polyhedral 3D objects,
CIAP95(272-280).
Springer DOI Link 9509
BibRef

Shapiro, L.G.[Linda G.], Costa, M.S.[Mauro S.],
Appearance-based 3D object recognition,
ORCV94(51-63).
Springer DOI Link 9412
BibRef

Ji, Q., Costa, M.S., Haralick, R.M., Shapiro, L.G.,
An Integrated Linear Technique for Pose Estimation from Different Geometric Features,
PRAI(13), No. 5, August 1999, pp. 705. 0005
BibRef

Mustafa, A.A.Y.[Adnan A.Y.], Shapiro, L.G.[Linda G.], and Ganter, M.A.[Mark A.],
Matching Surface Signatures for Object Identification,
SCIA97(xx-yy) 9705

HTML Version. BibRef

Borotschnig, H., Paletta, L., Prantl, M., Pinz, A.,
Appearance-based active object recognition,
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 Combination and Reinforcement Learning,
SCIA05(639-648).
Springer DOI Link 0506
BibRef
And:
Cascaded Sequential Attention for Object Recognition with Informative Local Descriptors and Q-learning of Grouping Strategies,
AttenPerf05(III: 94-94).
IEEE DOI Link 0507
BibRef

Greindl, C., Goyal, A., Ogris, G., Paletta, L.,
Cascaded attention and grouping for object recognition from video,
CIAP03(448-453).
IEEE Abstract. IEEE Top Reference. 0310
BibRef

Fritz, G., Paletta, L., Bischof, H.,
Object recognition using local information content,
ICPR04(II: 15-18).
IEEE DOI Link 0409
BibRef

Hornegger, J.[Joachim], Niemann, H.[Heinrich], Risack, R.[Robert],
Appearance-based object recognition using optimal feature transforms,
PR(33), No. 2, February 2000, pp. 209-224.
WWW Version. 0001
BibRef

Reinhold, M., Paulus, D., Niemann, H.,
Improved Appearance-Based 3-D Object Recognition Using Wavelet Features,
VMV01(xx-yy).
PDF Version. 0209
BibRef

Reinhold, M., 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 occlusions,
PR(38), No. 5, May 2005, pp. 739-753.
WWW Version. 0501
BibRef

Grzegorzek, M.[Marcin], Niemann, H.[Heinrich],
Statistical Object Recognition Including Color Modeling,
ICIAR05(481-489).
Springer DOI Link 0509
BibRef

Worthington, P.L.[Philip L.], 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], Chaudhury, S.[Santanu],
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 recognition,
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 basis functions. 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 based on Radon and Fourier-Mellin transforms,
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. BibRef 0800

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


Yang, J.[Jie], Bouzerdoum, A.[Abdesselam], Phung, S.L.[Son Lam],
A New Approach to Sparse Image Representation Using MMV and K-SVD,
ACIVS09(200-209).
Springer DOI Link 0909
MMV: Multiple Measurement Vectors BibRef

Gill, G.S.[Gurman S.], Levine, M.D.[Martin D.],
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space,
DAGM09(211-220).
Springer DOI Link 0909
BibRef
And:
Incorporating Shape Features in an Appearance-Based Object Detection System,
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 Recognition,
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., Cook, N., Tlustos, L.,
Medipix imaging: Evaluation of datasets with PCA,
IVCNZ08(1-6).
IEEE DOI Link 0811
X-ray data. BibRef

Brasnett, P.[Paul], Bober, M.[Miroslaw],
Fast and robust image identification,
ICPR08(1-5).
IEEE DOI Link 0812
Trace transform. BibRef

Liao, C.T.[Chia-Te], Lai, S.H.[Shang-Hong],
A novel robust kernel for appearance-based learning,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Nguyen, N.[Nam], Liu, W.Q.[Wan-Quan], Venkatesh, S.[Svetha],
Ridge Regression for Two Dimensional Locality Preserving Projection,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Tsai, Y.T.[Yun-Ta], Wang, Q.[Quan], You, S.[Suya],
CDIKP: A highly-compact local feature descriptor,
ICPR08(1-4).
IEEE DOI Link 0812
SIFT combined with projection BibRef

Mei, G.B.[Guo-Biao], Shelton, C.R.[Christian R.],
Unsupervised image embedding using nonparametric statistics,
ICPR08(1-4).
IEEE DOI Link 0812
into low dimensional space BibRef

Sharma, G.[Gaurav], Chaudhury, S.[Santanu], Srivastava1, J.B.,
Bag-of-features kernel eigen spaces for classification,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Kawabata, S.[Satoshi], Hiura, S.[Shinsaku], Sato, K.[Kosuke],
A rapid anomalous region extraction method by iterative projection onto kernel eigenspace,
ICPR08(1-4).
IEEE DOI Link 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. BibRef

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
BibRef

Xu, Y.L.[Yi-Lei], Roy-Chowdhury, A.K.[Amit K.],
A theoretical analysis of linear and multi-linear models of image appearance,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Xu, Y.L.[Yi-Lei], Roy-Chowdhury, A.K.[Amit K.],
Learning a geometry integrated image appearance manifold from a small training set,
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 Recognition,
CVPR07(1-8).
IEEE DOI Link 0706
Rather than the exact subspace. BibRef

Wolf, L.[Lior], Jhuang, H.H.[Huei-Han], Hazan, T.[Tamir],
Modeling Appearances with Low-Rank SVM,
CVPR07(1-6).
IEEE DOI Link 0706
BibRef

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
WWW Version. BibRef 0805

de la Torre, F.[Fernando],
Component Analysis methods for pattern recognition,
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 Appearance Models,
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. BibRef

Jain, P.K.[Paresh K.], Rao, P.K.[P. Kartik], Jawahar, C.V.,
Computing Eigen Space from Limited Number of Views for Recognition,
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. BibRef

Rahman, M.M.,
Merging and Generalizing Eigenspace for Partially Occluded and Destroyed Object Recognition,
ICIP06(2729-2732). 0610

IEEE DOI Link BibRef

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 Detection,
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 Recognition Using a Single Luminance Image,
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
BibRef

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
o 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. BibRef 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) BibRef 9400

Subirana-Vilanova, J.B.[J. Brian],
Mid-Level Vision and Recognition of Non-Rigid Objects,
MIT AI-TR-1442, January, 1993.
WWW Version. BibRef 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. BibRef 9800

Vitriá, J.[Jordi], Radeva, P.I.[Petia I.], Binefa, X.[Xavier],
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition,
CAIP99(17-24).
WWW Version. 9909
BibRef

Ignasiak, K.[Krystian], Skarbek, W.[Wladyslaw], Ghuwar, M.[Miloud],
Invariant Reference Points Methodology and Applications,
CAIP99(259-266).
WWW Version. 9909
BibRef

Skarbek, W.[Wladyslaw], Ghuwar, M.[Miloud], Ignasiak, K.[Krystian],
Local subspace method for pattern recognition,
CAIP97(527-534).
WWW Version. 9709
BibRef

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 hybrid systems,
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 .


Last update:Nov 16, 2009 at 19:35:14