A geodesic active contour framework for finding glass

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

Volumn 1, Issue , 2006, Pages 1038-1044

  McHenry, Kenton ^a   Ponce, Jean ^a,b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CRITERIA; GEODESIC ACTIVE CONTOUR FRAMEWORK; PIXEL LABELS;

CONTOUR MEASUREMENT; FUNCTION EVALUATION; GLASS; IMAGE ANALYSIS; IMAGE SEGMENTATION; PROBLEM SOLVING;

GEODESY;

EID: 33845591068     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.28     Document Type: Conference Paper

References (24)

1. E. Adelson. On seeing stuff: The perception of materials by humans and machines. SPIE, pages 1-12, 2001.
2. E. Adelson and P. Aniandan. Oridanl characteristics of transparency. AAAAI, pages 77-81, 1990.
3. K. Barnard and G. Finlayson. Shadow identification using colour ratios. 8th Color Imaging Conference, 2000.
4. M. Ben-Ezra and S. Nayar. What does motion reveal about transparency? ICCV, pages 1025-1032, 2003.
5. B. Caputo, E. Hayman, and P. Mallikarjuna. Class-specific material categorisation. ICCV, 2005.
6. V. Casselles, R. Kimmel, and G. Sapiro. Geodesic active contours. ICCV, 1995.
7. P. Felzenszwalb and D. Huttenlocher. Efficient graph-based image segmentation. IJCV, pages 167-181, 2004.
8. D. Forsyth and J. Ponce. Computer Vision, A Modern Approach. Prentice Hall, 2003.
9. S. Hata, Y. Saitoh, S. Kumamura, and K. Kaida. Shape extraction of transparent object using genetic algorithm. ICPR, pages 684-688, 1996.
10. M. Kass, A. Witkin, and D. Terzopoulos. Snakes: Active contour models. IJCV, 1:321-331, 1987.
11. S. Lazebnik, C. Schmid, and J. Ponce. Affine-invariant local descriptors and neighborhood statistics for texture recognition. ICCV, 2003.
12. A. Levin, A. Zomet, and Y. Weiss. Seperating reflections from a single image using local features. CVPR, 2004.
13. M. Levin and J. Bhattacharyya. Removing shadows. Pattern Recognition Letters, pages 251-265, 2005.
14. K. McHenry, J. Ponce, and D. A. Forsyth. Finding glass. CVPR, 2005.
15. D. Miyazaki, M. Kagesawa, and K. Ikeuchi. Polarization-based transparent surface modeling from two views. ICCV, pages 1381-1386, 2003.
16. H. Murase. Surface shape reconstruction of an undulating transparent object. ICCV, pages 313-317, 1990.
17. P. Nillius and J. Eklundh. Classifying materials from their reflectance properties. ECCV, pages 366-376, 2004.
18. M. Osadchy, D. Jacobs, and R. Ramamoorthi. Using specularities for recognition. ICCV, pages 1512-1519, 2003.
19. J. Platt. Advances in Large Margin Classifiers, chapter Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods, pages 61-74. MIT Press, 2000.
20. E. Salvador, A. Cavallaro, and T. Ebrahimi. Shadow identification and classification using invariant color models. ICASSP, pages 1545-1548, 2001.
21. M. Singh and X. Huang. Computing layered surface representations: An algoritm for detecting and seperating transparent overlays. CVPR, 2:11-18, 2003.
22. J. Solem, H. Aanaes, and A. Heyden. Pde based shape from specularities. LNCS, pages 401-415, 2003.
23. R. Szeliski, S. Avidan, and P. Aniandan. Layer extraction from multiple images containing reflections and transparency. CVPR, 2000.
24. M. Varma and A. Zisserman. Classifying images of materials: Achieving viewpoint and illumination independence. ECCV, pages 255-271, 2002.