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A study on local facial features using LDP  

Cho, Young Tak (경희대학교 전자정보대학 컴퓨터공학과)
Jung, Woong Kyung (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. 49-56 More about this Journal
Abstract
In this paper, we proposed a method for representing local facial features based on LDP (Local Directional Pattern). To represent both PFF (Permanent Facial Features) and TFF (Transient Facial Features) effectively, the proposed method configure local facial feature vectors based on overlapped blocks for each facial feature in the forms of various size and shape. There are three advantages - it take advantages of geometric feature based method; it shows robustness about detection error using movement characteristics of each facial feature; and it shows reduced sampling error because maintain spatial information caused by block size variability. Proposed method shows better classification accuracy and reduced amount of calculation than existing methods.
Keywords
Facial expression recognition; Facial feature; Local Micro Pattern; Local Binary Pattern; Local Directional Pattern;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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