NDLI: An enhanced Active Shape Model for facial features extraction

Content Provider	IEEE Xplore Digital Library
Author	Chengzhi Sun Mei Xie
Copyright Year	2008
Description	Author affiliation: Instn. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu (Chengzhi Sun; Mei Xie)
Abstract	Active shape model (ASM) has been widely recognized as one of the best methods for image features extraction. In this paper, we propose an enhanced ASM (EASM)algorithm for face image features extraction The ASM search algorithm only use the local texture constraint around each landmark points. The EASM combines both local texture constraint and global texture constraint in EASM search. In the EASM algorithm, each landmark is firstly matched by its local constraint in its current neighborhood, and we adjust the shape model parameters to get the current shape model. Then, the novel image global texture is reconstructed according to the current shape model. After that, we evaluate the fitting degree between the novel image global texture and the reconstructed global texture for the novel image, and update the shape parameters according the fitting degree. Experiments show that our proposed EASM algorithm can extract the facial features more accurately than tradition ASM.
Starting Page	661
Ending Page	664
File Size	157013
Page Count	4
File Format	PDF
ISBN	9781424422500
DOI	10.1109/ICCT.2008.4716188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active shape model Facial features Feature extraction Face recognition Image reconstruction Image analysis Facial animation Biomedical engineering Biomedical imaging Image recognition local constraint EASM global texture constraint facial features
Content Type	Text
Resource Type	Article

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