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A Study on Local Micro Pattern for Facial Expression Recognition  

Jung, Woong Kyung (경희대학교 전자정보대학 컴퓨터공학과)
Cho, Young Tak (경희대학교 전자정보대학 컴퓨터공학과)
Ahn, Yong Hak (세종대학교 전자정보공학대학 컴퓨터공학과)
Chae, Ok Sam (경희대학교 전자정보대학 컴퓨터공학과)
Publication Information
Convergence Security Journal / v.14, no.5, 2014 , pp. 17-24 More about this Journal
Abstract
This study proposed LDP (Local Directional Pattern) as a new local micro pattern for facial expression recognition to solve noise sensitive problem of LBP (Local Binary Pattern). The proposed method extracts 8-directional components using $m{\times}m$ mask to solve LBP's problem and choose biggest k components, each chosen component marked with 1 as a bit, otherwise 0. Finally, generates a pattern code with bit sequence as 8-directional components. The result shows better performance of rotation and noise adaptation. Also, a new local facial feature can be developed to present both PFF (permanent Facial Feature) and TFF (Transient Facial Feature) based on the proposed method.
Keywords
Face Recognition; Pattern Lock; Facial feature; Local micro pattern; LBP; Local directional pattern;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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