Local Features and Kernels for Classification of Texture and Object Categories
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ZhangJ. | MarszałekM. | LazebnikS. | SchmidC.
[1] Peter Auer,et al. Weak Hypotheses and Boosting for Generic Object Detection and Recognition , 2004, ECCV.
[2] Kristin J. Dana,et al. Compact representation of bidirectional texture functions , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[3] Trevor Darrell,et al. The pyramid match kernel: discriminative classification with sets of image features , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[4] Jiahua Wu,et al. Combining gradient and albedo data for rotation invariant classification of 3D surface texture , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[5] B. S. Manjunath,et al. Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Anil K. Jain,et al. Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..
[7] Trevor Darrell,et al. Efficient image matching with distributions of local invariant features , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[8] Lixin Fan,et al. Categorizing Nine Visual Classes using Local Appearance Descriptors , 2004 .
[9] Bernt Schiele,et al. Analyzing appearance and contour based methods for object categorization , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[10] Barbara Caputo,et al. Cue integration through discriminative accumulation , 2004, CVPR 2004.
[11] Jitendra Malik,et al. Spectral grouping using the Nystrom method , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[13] Jitendra Malik,et al. Shape matching and object recognition using low distortion correspondences , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[14] Hermann Ney,et al. Improving a Discriminative Approach to Object Recognition Using Image Patches , 2005, DAGM-Symposium.
[15] Andrew Zisserman,et al. Classifying Images of Materials: Achieving Viewpoint and Illumination Independence , 2002, ECCV.
[16] Tony Lindeberg,et al. Direct computation of shape cues using scale-adapted spatial derivative operators , 1996, International Journal of Computer Vision.
[17] Luc Van Gool,et al. Modeling scenes with local descriptors and latent aspects , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[18] Martin A. Fischler,et al. The Representation and Matching of Pictorial Structures , 1973, IEEE Transactions on Computers.
[19] Phil Brodatz,et al. Textures: A Photographic Album for Artists and Designers , 1966 .
[20] Dan Roth,et al. Learning a Sparse Representation for Object Detection , 2002, ECCV.
[21] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[22] Siwei Lyu,et al. Mercer kernels for object recognition with local features , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[23] Christos Faloutsos,et al. QBIC project: querying images by content, using color, texture, and shape , 1993, Electronic Imaging.
[24] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[25] Frédéric Jurie,et al. Creating efficient codebooks for visual recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[26] Jitendra Malik,et al. Recognizing surfaces using three-dimensional textons , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[27] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[28] Bo Zhang,et al. Support vector machines for region-based image retrieval , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).
[29] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.
[30] Alexei A. Efros,et al. Discovering objects and their location in images , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[31] Pietro Perona,et al. Towards automatic discovery of object categories , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[32] Bernhard Schölkopf,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[33] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[34] Barbara Caputo,et al. Recognition with local features: the kernel recipe , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[35] B. Julesz. Textons, the elements of texture perception, and their interactions , 1981, Nature.
[36] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[37] Massimiliano Pontil,et al. Support Vector Machines for 3D Object Recognition , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[39] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[40] C. Schmid,et al. Object Class Recognition Using Discriminative Local Features , 2005 .
[41] S. Lazebnik,et al. Local Features and Kernels for Classification of Texture and Object Categories: An In-Depth Study , 2005 .
[42] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[43] J Eichhorn,et al. Object categorization with SVM: kernels for local features , 2004 .
[44] B. Caputo,et al. Object categorization via local kernels , 2004, ICPR 2004.
[45] Hermann Ney,et al. Discriminative training for object recognition using image patches , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[46] Andrew E. Johnson,et al. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..