Isomorphic Manifold Inference for hair segmentation

2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013

Volumn , Issue , 2013, Pages

  Wang, Dan ^a,b   Shan, Shiguang ^a   Zhang, Hongming ^c   Zeng, Wei ^c   Chen, Xilin ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c NEC Laboratories China   (China)

Author keywords

Graph Cuts; Hair segmentation; Isomorphic Manifold Inference; Shape prior

Indexed keywords

COMPLEX BACKGROUND; EXPERIMENTAL COMPARISON; GRAPH CUT; ISOMORPHIC MANIFOLD INFERENCE; PROBABILITY MAPS; REGION BOUNDARIES; REGRESSION TECHNIQUES; SHAPE PRIORS;

IMAGE SEGMENTATION;

EID: 84881519453     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2013.6553725     Document Type: Conference Paper

References (30)

1. Y. Yacoob and L. S. Davis, "Detection and analysis of Hair," TPAMI, 28(7)1164-1169, 2006.
2. K. Ueki, H. Komatsu , S. Imaizumi, K. Kaneko, N. Sekine, J. Katto, and T. Kobayashi, "A method of gender classification by integrating facial, hairstyle, and clothing images," In ICIP, pp. 446-449, 2004.
3. Z. Zhang, H. Gunes, and M. Piccardi, "An accurate algorithm for head detection based on XYZ and HSV hair and skin color models," In ICIP, pp. 1644-1647, 2008.
4. N. Wang, H. Ai and S. Lao, "A Compositional Exemplar-based Model for Hair Segmentation," In ACCV, pp.171-184, 2010.
5. K.C. Lee, D. Anguelov, B. Sumengen, and B. Gokturk, "Markov random field models for hair and face segmentation," In FG, pp. 1-6, 2008.
6. P. Julian, C. Dehais, F. Lauze, V. Charvillat, A. Bartoli, and A. Choukroun, "Automatic hair detection in the wild," In ICPR, pp. 4617-4620, 2010.
7. F. Bertails, B. Audoly, B. Querleux, F. Leroy, J. L. Leveque, and M. P. Cani, "Predicting natural hair shapes by solving the statics of flexible rods," Eurographics, 2005.
8. F. Bertails, B. Audoly, M. P. Cani, B. Querleux, F. Leroy, and J. L, "Lévêque. Super-helices for predicting the dynamics of natural hair," SIGGRAPH, pp.1180-1187, 2006.
9. J. Shotton, J. Winn, C. Rother, and A. Criminisi, "TextonBoost for Image Understanding Multi-class object recognition and segm entation by jointly modeling texture, layout, and context," IJCV, 81(1)2-23, 2009.
10. J. Winn and N. Jojic, "LOCUS Learning object classes with unsupervised segmentation," In ICCV, pp. 756-763, 2005.
11. E. Borenstein and S. Ullman, "Class-specific, top-down segmentation," In ECCV, pp. 639-641, 2002.
12. E. Borenstein and S. Ullman, "Learning to segment," In ECCV, pp. 315-328, 2004.
13. X. He, R. S. Zemel, and D. Ray, "Learning and incorporating top-down cues in image segmentation," In ECCV, pp. 338-351, 2006.
14. A. Levinand and Y. Weiss, "Learning to combine bottom-up and top-down segmentation," IJCV, 81(1)105-118, 2009.
15. B. Alexe, T. Deselaers, and V. Ferrari, "ClassCut for unsupervised class segmentation," In ECCV, pp. 380-393, 2010.
16. O. Veksler, "Star shape prior for Graph-Cut image segmentation" In ECCV, pp. 454-467, 2008.
17. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, "Active shape models-their training and application," CVIU, 61(1) 38-59, 1995.
18. T. F. Cootes, G. J. Edwards, and C. J. TAYLOR, "Active appearance models," T-PAMI, 23(6)681-685, 2001.
19. Z. Liu, J. Guo, and L. Bruton, "A knowledge-based system for hair region segmentation," In ISSPA, vol. 2, pp. 575-576, 1996.
20. M. Kampmann, "Segmentation of a head into face, ears, neck and hair for knowledge-based analysis-synthesis coding of videophone sequences," In ICIP, 1998.
21. C. Rousset and P.Y. Coulon, "Frequential and color analysis for hair mask segmentation," In ICIP, pp. 2276-2279, 2008.
22. D. Wang, S. Shan, W. Zeng, H Zhang, and X. Chen, "A novel two-tier Bayesian based method for hair segmentation," In ICIP, pp. 2401-2404, 2009.
23. T. F. Chan and L. A. Vese, "Active contours without edges," TIP, 10(2)266-277, 2001.
24. Y. Boykov, O. Veksler, and R. Zabih, "Fast approximate energy minimization via graph cuts," T-PAMI, 23(11)1222-1239, 2001.
25. T. Hastie and R.Tibshirani and J. Friedman. The elements of statistical learning. 2nd edition, pp. 43-93, 2008.
26. S. Damb reville, Y. Rathi, and A. Tannenbaum, "Shape-based approach to robust image segmentation using kernel PCA," In CVPR, pp. 977-984, 2006.
27. D. Comaniciu and P. Meer, "Mean shift A robust approach toward feature space analysis," T-PAMI, 28(7)603-619, 2002.
28. A. E. Hoerl and R. W. Kennard, "Ridge regression biased estimation for nonorthogonal problems," Technometrics 12(1)55-67, 1970.
29. R. Tibshirani, "Regression shrinkage and selection via the lasso," J. Royal. Statist. Soc B., 58(1) 267-288, 1996.
30. J. Ning, L. Zhan g, D. Zhang, and C. Wu, "Interactive image segmentation by maximal similarity based region merging," Pattern Recognition, 43(2)445-456, 2010.