A projective invariant for textures

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2, Issue , 2006, Pages 1932-1939

  Yong, Xu ^a   Hui, Ji ^b   Fermüller, Cornelia ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b University of Maryland ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BI-LIPSCHITZ MAP; MULTIFRACTAL SPECTRUM (MFS); NON-RIGID DEFORMATIONS; TEXTURE SIGNATURES;

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; MATHEMATICAL TRANSFORMATIONS; ROBUSTNESS (CONTROL SYSTEMS); TEXTURES;

IMAGE ANALYSIS;

EID: 33845578198     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.38     Document Type: Conference Paper

References (17)

1. R. Azencott, J. Ping, and L. Younes, "Texture Classification Using Windowed Fourier Filters," PAMI., Vol. 19(2), pp. 148-153, 1997.
2. F. Espinal, B. D. Jawerth and T. Kubota, "Wavelet-based Fractal Signature Analysis for Automatic Target Recognition," Opt. Eng., Vol. 37(1), pp. 166-174, 1998.
3. K. J. Falconer, Techniques in Fractal Geometry, John Wiley, 1997.
4. C. Kervrann and F. Heitz, "A Markov Random Field Model-based Approach to Unsupervised Texture Segmentation Using Local and Global Spatial Statistics," IEEE Trans. Image Process, Vol. 4(6), pp. 856-862, 1995.
5. A. Laine and J. Fan, "Texture Classification by Wavelet Packet Signatures," PAMI., Vol. 15(11), pp. 1186-1191, 1993.
6. S. Lazebnik, C. Schmid and J. Ponce, "A Sparse Texture Representation Using Affine-Invariant Regions," PAMI., 2004
7. B. B. Mandelbrot, The Fractal Geometry of Nature, San Francisco, CA: Freeman, 1982.
8. L. Kam and J. Blanc-Talon, "Are Multifractal Multipermuted Multinomial Measures Good Enough for Unsupervised Image Segmentation", CVPR, pp. 58-63, 2000.
9. L. M. Kaplan, "Extended Fractal Analysis for Texture Classification and Segmentation", PAMI Vol. 8(11), pp. 1572-1585, 1999.
10. A. Conci and L. H. Monteiro, "Multifractal Characterization of Texture-Based Segmentation", ICIP, pp. 792-795, 2000.
11. T. Mihran, "Moment Based Texture Segmentation," Pattern Recognition Letters, Vol. 15, pp. 659-668, 1994.
12. F. Mindru, T. Tuytelaars, L. Van Gool and T. Moons, "Moment invariants for recognition under changing viewpoint and illumination", Computer Vision and Image Understanding, Vol. 94(1-3), pp. 3-27, 2004.
13. J. L. Mundy and A. Zisserman, Geometric invariance in Computer Vision, MIT Press, 1992.
14. S. Peleg, J. Naor, R. Hartley and D. Avnir, "Multiple resolution texture analysis and classification," PAMI, Vol. 6, pp. 518-523, 1984.
15. A. Teuner, O. Pichler, and B. J. Hosticka, "Unsupervised Texture Segmentation of Images Using Tuned Matched Gabor Filters," IEEE Trans. Image Process, Vol. 4(6), pp. 863-870, 1995.
16. M. Varma and A. Zisserman, "Classifying images of materials: Achieving viewpoint and illumination independence", CVPR, Vol. 3, pp. 255-271, 2003.
17. I. Weiss, "Geometric Invariants and Object Recognition," IJCV, Vol. 10(3), pp. 207-231, 1993.