NDLI: Tracking Facial Feature Points with Statistical Models and Gabor Wavelet

Content Provider	IEEE Xplore Digital Library
Author	Mian-Shui Yu Shao-Fa Li
Copyright Year	2006
Description	Author affiliation: South China University of Technology, China; Guangdong Vocational College of Industry & Commerce, China (Mian-Shui Yu) \|\| South China University of Technology, China (Shao-Fa Li)
Abstract	A precise face tracking algorithm for image sequence is presented in this paper which integrates Gabor wavelets with statistical models AAM (active appearance models). Facial feature points are characterized using Gabor wavelets and can be individually tracked. However, a disadvantage with this kind of purely feature-based tracking is that errors accumulate and nodes loose lock on their corresponding features. To repair this defect, a face affine transform is used to obtain the initial shape of the AAM model, and then the AAM is used to impose global constraints upon the local feature points and to produce a precise tracking. Experimental results demonstrate the ability of the proposed algorithm to precisely track facial features.
Starting Page	61
Ending Page	67
File Size	666842
Page Count	7
File Format	PDF
ISBN	0769527221
DOI	10.1109/MICAI.2006.47
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-13
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Human computer interaction Head Shape Lighting Image sequences Active appearance model Facial animation Face detection Application software Facial features
Content Type	Text
Resource Type	Article

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