NDLI: An efficient landmark localization for face occlusion

Content Provider	IEEE Xplore Digital Library
Author	Hui-Yu Huang Shih-Hang Hsu
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan (Hui-Yu Huang; Shih-Hang Hsu)
Abstract	Landmark localization for facial representation is usually affected by the variation of illumination or occlusion, in order to reduce these factors, in this paper, we propose an efficient landmark localization method for face images based on modified active shape model (MASM) and Gabor filters to reduce the drawbacks of intensity contrast and occlusion. The approach mainly consists of two phases. First, face images are preprocessed by the proposed illumination normalization method using Gabor wavelets. Then, upgrading the performance of Gabor kernels reduction based on the similarity of Gabor features vector, the location of facial features can fit more efficient and fast by the proposed feature-based weighted warping. The advantages of this proposed method not only obtain the better face alignment, but also overcome the active shape model (ASM) method which caused the failure for aligned target. The experimental results verify that this approach can achieve in AR face database with face occlusion cases and Yale face database_B with varied illumination conditions.
Starting Page	372
Ending Page	376
File Size	785040
Page Count	5
File Format	PDF
ISBN	9781457703058
ISSN	21601348
e-ISBN	9781457703089
DOI	10.1109/ICMLC.2011.6016715
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Gabor filters Lighting Databases Feature extraction Face recognition Kernel Active shape model (ASM) Landmark localization Image warping
Content Type	Text
Resource Type	Article

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