Automatic extraction of face contours in images and videos

Authors:
Chih-Yu Hsu;Hao-Feng Wang;Hui-Ching Wang;Kuo-Kun Tseng
Affiliations:
Department of Information and Communication Engineering, ChaoYang University of Technology, Taichung, Taiwan, ROC;Department of Applied Mathematics, National Chung-Hsing University, Taichung, Taiwan, ROC;Department of Applied Mathematics, National Chung-Hsing University, Taichung, Taiwan, ROC;Shenzhen Graduate School, Harbin Institute of Technology, HIT Campus of ShenZhen University Town, XiLi, ShenZhen, China
Venue:
Future Generation Computer Systems
Year:
2012

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Abstract

The paper proposed an automatic and accurate extraction of the human face contour algorithm. Because a human face contour includes very important facial features to identifying or verifying a person, the accuracy of face contour extraction influences performance of face recognition. The automatic extraction human face contour algorithm includes a novel flowchart for improving accuracy of face contours extraction. To obtain the edge map of a face contour, the divided-and-conquer technique and Canny edge detector were used to avoid the features in the central part of face. The genetic algorithm is implemented to automatically find the parameters of Canny edge detector. Finally, the Poisson gradient vector flow (PGVF) active contour model used the edge map to extract face contours. Three datasets with temporal sequence images were tested for evaluation of the proposed algorithm. The experimental results demonstrated that the algorithm obtained accurate face contours.