Browse > Article
http://dx.doi.org/10.9717/kmms.2012.15.1.063

Proposing Shape Alignment for an Improved Active Shape Model  

Hahn, Hee-Il (한국외국어대학교 정보통신공학과)
Publication Information
Journal of Korea Multimedia Society / v.15, no.1, 2012 , pp. 63-70 More about this Journal
Abstract
In this paper an extension to an original active shape model(ASM) for facial feature extraction is presented. The original ASM suffers from poor shape alignment by aligning the shape model to a new instant of the object in a given image using a simple similarity transformation. It exploits only informations such as scale, rotation and shift in horizontal and vertical directions, which does not cope effectively with the complex pose variation. To solve the problem, new shape alignment with 6 degrees of freedom is derived, which corresponds to an affine transformation. Another extension is to speed up the calculation of the Mahalanobis distance for 2-D profiles by trimming the profile covariance matrices. Extensive experiment is conducted with several images of varying poses to check the performance of the proposed method to segment the human faces.
Keywords
ASM; Shape Alignment; Affine Transform; Principal Component Analysis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. H. Mohammad, A. M. Mohamed, and A. Ansari, "Improved Active Shape Model for Facial Feature Extraction in Color Images," Journal of Multimedia, Vol.1, No.4, pp. 21-28, 2006.
2 James E. Gentle, Numerical linear algebra for applications in statistics, Springer, 1998.
3 S. Milborrow and F. Nicolls, "Locating Facial Features with an Extended Active Shape Model," ECCV'08 Proceedings of the 10th European Conference on Computer Vision: Part IV, pp. 504-513, 2008.
4 P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features," Computer Vision and Pattern Recognition Conference, pp. 511-518, 2001.
5 유주환, 이종민, 김회율, "정규화된 형상 모델을 이용한 뼈 나이 측정 방법," 한국멀티미디어학회논문지, 제12권, 제3호, pp. 383-396, 2009.
6 M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active Contour Models," Proceedings, First International Conference on Computer Vision, pp. 259-268, IEEE Computer Society Press, 1987.
7 T. F. Cootes, C. J. Taylor, and J. Graham, "Active Shape Model-Their Training and Application," Computer Vision and Image Understanding Vol.61, No.1, pp. 38-59, 1995.   DOI   ScienceOn
8 T. F. Cootes, G. J. Edwards, and C. J. Taylor, "Active Appearance Model," IEEE Trans. PAMI , Vol.23, No.6, pp. 681-685, 2001.   DOI
9 T. F. Cootes and C. J. Taylor, "Statistical Models of Appearance for Computer Vision," Technical report, University of Manchester , 2004.
10 H. Xu and Z. Ma, "An Improved Active Shape Model for Facial Feature Location," Second International Symposium on Intelligent Information Technology Application, pp. 114-118, 2008.
11 Z. Zheng, J. Jiong, D. Chunjiang, X. Liu, and J. Yang, "Facial Feature Localization Based on an Improved Active Shape Model," Information Sciences, Vol.178, No.9, pp. 2215-2223, 2008.   DOI
12 H. Huang and S. Hsu, "Improved Active Shape Model for Facial Feature Localization," http://repository.tudelft.nl, 2011.