NDLI: Facial feature point extraction using a new improved Active Shape Model

Content Provider	IEEE Xplore Digital Library
Author	Li Dang Fanrang Kong
Copyright Year	2010
Description	Author affiliation: Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China (Li Dang; Fanrang Kong)
Abstract	In this paper, we present a new improved Active Shape Model (ASM) for facial feature points extraction. ASM performance is often influenced by some factors such as initial position, illumination, pose, etc, which frequently lead to the local minima in optimization. The original ASM has two sub-models: global shape model and local texture model, we proposed two improved methods for the shortcomings. First, we use a new method to obtain the pupil center position accurately, and these centers can provide more accurate initial position for the point distribution model of ASM. Second, we establish two texture submodels, and they constitute the new texture model together with the original: one based on YCrCb space and color similarity, and the other based on the non-skin region texture feature in the normal direction of facial feature point. The new method of pupil center location can make the average shape transform into initial shape and most similar to the actual feature points model; the new texture model can locate feature points precisely, it can make points located in the contour well. Our experiments of the proposed method have shown effectiveness comparing with the conventional.
Starting Page	944
Ending Page	948
File Size	489344
Page Count	5
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5646914
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	YCrCb Active Shape Model Shape Image color analysis least squares Feature extraction Active shape model Face local texture model weighted Facial features Pixel
Content Type	Text
Resource Type	Article

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