Digital Signal Processing Reference
In-Depth Information
55. Rother C., Minka T., Blake A., and Kolmogorov V.: Cosegmentation of image pairs by
histogram matching-incorporating a global constraint into MRFs, IEEE Computer Society
Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 993-1000, 2006.
56. Mukherjee L., Singh V., and Dyer C. R.: Half-integrality based algorithms for cosegmentation
of images, IEEE Computer Society Conference on Computer Vision and Pattern Recognition
(CVPR), 2009.
57. Hochbaum D. S., and Singh V., An efficient algorithm for co-segmentation, IEEE International
Confernce on Computer Vision (ICCV), 2009.
58. Joulin A., Bach F., and Ponce J.: Discriminative clustering for image co-segmentation, IEEE
Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
59. Vicente S., Kolmogorov V., and Rother C., Cosegmentation revisited: models and optimization,
European Conference on Computer Vision (ECCV), 2010.
60. Borenstein E., Ullman S.: Class-specific, top-down segmentation, European Conference on
Computer Vision (ECCV), 2002.
61. Lee Y. J., Grauman K.: Collect-Cut: segmentation with top-down cues discovered in multi-
object images, IEEE Computer Society Conference on Computer Vision and Pattern Recogni-
tion (CVPR), 2010.
62. Li H., Ngan K. N.: FaceSeg: Automatic Face Segmentation for Real-Time Video, IEEE Trans-
actions on Multimedia, 11(1), 77-88 (2009)
63. Unnikrishnan R., and Hebert M., Measures of similarity, IEEE Workshop on Computer Vision
Applications, pp. 394-400, 2005.
64. Martin D., Fowlkes C., Tal D., and Malik J.: A database of human segmented natural images
and its application to evaluating segmentation algorithms and measuring ecological statistics,
in Proc. Intl Conf. Computer Vision (ICCV), vol. 2, pp. 416-423, 2001.
Search WWH ::




Custom Search