Learning full pairwise affinities for spectral segmentation

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

Volumn , Issue , 2010, Pages 2101-2108

  Kim, Tae Hoon ^a   Lee, Kyoung Mu ^a   Lee, Sang Uk ^a  

^a South Korea   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AFFINITY MATRIX; EIGEN DECOMPOSITION; HIGH-QUALITY SEGMENTATION; IMAGE DATABASE; MEAN SHIFT ALGORITHM; NORMALIZED CUTS; OVERALL QUALITY; PIXEL AFFINITIES; SEMI-SUPERVISED LEARNING; SPARSE MATRICES; SPECTRAL FRAMEWORK; SPECTRAL SEGMENTATION; TEST IMAGES;

ALGORITHMS; COMPUTER VISION; IMAGE SEGMENTATION; SUPERVISED LEARNING;

PIXELS;

EID: 77955994042     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539888     Document Type: Conference Paper

References (34)

1. A. Barbu and S.-C. Zhu. Graph partition by swendsen-wang cuts. In ICCV, 2003.
2. Y. Boykov and G. Funka-Lea. Graph cuts and efficient n-d image segmentation. IJCV, 70(2):109-131, 2006.
3. S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In WWW, 1998.
4. M. Á . Carreira-Perpiñán. Fast nonparametric clustering with gaussian blurring mean-shift. In ICML, 2006.
5. D. Comaniciu and P. Meer. Mean shift: a robust approach toward feature space analysis. PAMI, 24(5):603-619, 2002.
6. T. Cour, F. Bénézit, and J. Shi. Spectral segmentation with multiscale graph decomposition. In CVPR, 2005.
7. Y. Deng and B. S. Manjunath. Unsupervised segmentation of color-texture regions in images and video. PAMI, 23(8):800-810, 2001.
8. M. Donoser, M. Urschler, M. Hirzer, and H. Bischof. Saliency driven total variation segmentation. In ICCV, 2009.
9. P. F. Felzenszwalb and D. P. Huttenlocher. Efficient graphbased image segmentation. IJCV, 59(2):167-181, 2004.
10. C. Fowlkes, S. Belongie, F. Chung, and J. Malik. Spectral grouping using the nyström method. PAMI, 26(2):214-225, 2004.
11. C. Fowlkes, D. Martin, and J. Malik. Learning affinity functions for image segmentation: combining patch-based and gradient-based approaches. In CVPR, 2003.
12. J. Freixenet, X. Muñoz, D. Raba, J. Martí, and X. Cufí. Yet another survey on image segmentation: region and boundary information integration. In ECCV, 2002.
13. Y. Gdalyahu, D. Weinshall, and M. Werman. Stochastic image segmentation by typical cuts. In CVPR, 1999.
14. G. H. Golub and C. F. V. Loan. Matrix computations, 1996. Johns Hopkins University Press.
15. P. Kohli, L. Ladický, and P. Torr. Robust higher order potentials for enforcing label consistency. In CVPR, 2008.
16. T. Leung and J. Malik. Contour continuity in region-based image segmentation. In ECCV, 1998.
17. D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natrual images and its application to evaluating segmentation algorithms and measuring ecological statistics. In ICCV, 2001.
18. M. Meilǎ. Comparing clusterings: an axiomatic view. In ICML, 2005.
19. J.-Y. Pan, H.-J. Yang, C. Faloutsos, and P. Duygulu. Automatic multimedia cross-modal correlation discovery. In KDD, 2004.
20. T. Pock, A. Chambolle, D. Cremers, and H. Bischof. A convex relaxation approach for computing minimal partitions. In CVPR, 2009.
21. J. Puzicha, T. Hofmann, and J. M. Buhmann. Nonparametric similarity measures for unsupervised texture segmentation and image retrieval. In CVPR, 1997.
22. S. R. Rao, H. Mobahi, A. Y. Yang, S. S. Sastry, and Y. Ma. Natural image segmentation with adaptive texture and boundary encoding. In ACCV, 2009.
23. S. Sanjay-Gopal and T. J. Hebert. Bayesian pixel classification using spatially variant finite mixtures and the generalized em algorithm. IP, 7(7):1014-1028, 1998.
24. G. Sfikas, C. Nikou, and N. Galatsanos. Edge preserving spatially varying mixtures for image segmentation. In CVPR, 2008.
25. E. Sharon, A. Brandt, and R. Basri. Fast multiscale image segmentation. In CVPR, 2000.
26. N. Shental, A. Zomet, T. Hertz, and Y. Weiss. Learning and inferring image segmentations with the gbp typical cut algorithm. In ICCV, 2003.
27. J. Shi and J. Malik. Normalized cuts and image segmentation. PAMI, 22(8):888-905, 2000.
28. R. Unnikrishnan, C. Pantofaru, and M. Hebert. Toward objective evaluation of image segmentation algorithms. PAMI, 29(6):929-944, 2007.
29. J. Wang, Y. Jia, X.-S. Hua, C. Zhang, and L. Quan. Normalized tree partitioning for image segmentation. In CVPR, 2008.
30. Y. Weiss. Segmentation using eigenvectors: a unifying view. In ICCV, 1999.
31. S. X. Yu. Segmenation using multiscale cues. In CVPR, 2004.
32. S. X. Yu and J. Shi. Multiclass spectral clustering. In ICCV, 2003.
33. R. Zabih and V. Kolmogorov. Spatially coherent clustering using graph cuts. In CVPR, 2004.
34. D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf. Learning with local and global consistency. In NIPS, 2003.