NDLI: From clamped local shape models to global shape model

Content Provider	IEEE Xplore Digital Library
Author	Hui Fang Jingjing Deng Xianghua Xie Grant, P.W.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Swansea Univ., Swansea, UK (Hui Fang; Jingjing Deng; Xianghua Xie; Grant, P.W.)
Abstract	Facial fiducial point localization is a crucial step for most facial analysis applications, e.g., face recognition, expression recognition and facial aging simulation. Although state-of-art methods have the ability to provide good salient point location on frontal faces, finding a global solution under large variations caused by off-plane rotations and exaggerated expression changes is still a challenge. In this paper, we present a system with a two-level shape model to facilitate accurate facial fiducial point localization. In the first level, two local component models interact with each other in order to offer novel shape constraints. At the same time, the clamped local shape model provides constrained non-linear shape initialization for better convergence performance of the shape model as a whole. The experimental results confirm that the proposed method is capable of dealing with the face alignment under large shape variations.
Starting Page	3513
Ending Page	3517
File Size	1880970
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discriminate texture models Facial fiducial point localization Active shape models
Content Type	Text
Resource Type	Article

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