A hybrid model for invariant and perceptual texture mapping

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 1, 2002, Pages 135-138

  Long, Huizhong ^a   Leow, Wee Kheng ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; IMAGE RETRIEVAL; LEARNING SYSTEMS; NEURAL NETWORKS; MAPPING;

COMPUTATIONAL FEATURES; COMPUTER IMAGE UNDERSTANDING; PERCEPTUAL SPACE;

TEXTURES; PATTERN RECOGNITION;

COMPUTATIONAL FEATURES; COMPUTER IMAGES; CONVOLUTIONAL NEURAL NETWORK; HUMAN PERCEPTION; PERCEPTUAL MAPPING; SIMILARITY MEASURE; TEXTURE MAPPING; TEXTURE SIMILARITY;

EID: 33751585799     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (14)

1. P. Brodatz. Textures: A Photographic Album for Artists and Designers. Dover, 1966.
2. F. S. Cohen, Z. Fan, and M. A. Patel. Classification of rotated and scaled textured image using Gaussian Markov random field model. IEEE Trans. PAMI, 13(2):192-202, 1991.
3. L. Devroye, L. Györfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition. Springer-Verlag, 1996.
4. G. M. Haley and B. S. Manjunath. Rotation-invariant texture classification using a complete space-frequency model. IEEE Trans. IP, 8(2):255-269, 1999.
5. J. Keeler, D. Rumelhart, and W. Leow. Integrated segmentation and recognition of hand-printed numeral. In Proc. NIPS, pages 557-563, 1991.
6. Y. LeCun and Y. Bengio. Convolutional networks for images, speech, and time series. In M. A. Arbib, editor, The Handbook of Brain Theory and Neural Networks, pages 255-258. MIT Press, 1995.
7. W. K. Leow and S. Y. Lai. Scale and orientation-invariant texture matching for image retrieval. In M. K. Pietikäinen, editor, Texture Analysis in Machine Vision. World Scientific, 2000.
8. H.-Z. Long and W. K. Leow. Invariant and perceptually consistent texture mapping for content-based image retrieval. In Proc. ICIP, 2001.
9. H.-Z. Long and W. K. Leow. Perceptual texture space improves perceptual consistency of computational features. In Proc. IJCAI, 2001.
10. J.S. Payne, L. Hepplewhite, and T.J. Stonham. Perceptually based metrics for the evaluation of textural image retrieval methods. In Proc. IEEE ICMCS '99, pages 793-797, 1999.
11. A. R. Rao and G. L. Lohse. Towards a texture naming system: Identifying relevant dimensions of texture. In Proc. IEEE Conf. Visualization, pages 220-227, 1993.
12. B. Schölkopf, P. Simard, A. Smola, and V. Vapnik. Prior knowledge in support vector kernels. In Proc. NIPS 10, pages 640-646, 1998.
13. D.-G. Sim, H.-K. Kim, and D.-I. Oh. Translation, scale, and rotation invariant texture descriptor for texture-based image retrieval. In Proc. ICIP, 2000.
14. A. Teuner, O. Pichler, J. E. S. Conde, and B. J. Hosticka. Orientation- and scale-invariant recognition of textures in multi-object scenes. In Proc. ICIP, pages 174-177, 1997.