Facial boundary detection with an active contour model

Authors:
Jae Sik Chang;Eun Yi Kim;Hang Joon Kim
Affiliations:
Computer Science Department, University of California, Santa Barbara, CA, USA;Department of Internet and Multimedia Engineering, Konkuk University, 1 Hwayang-dong, Gwangjin-gu, 143-750 Seoul, South Korea;Department of Computer Engineering, Kyungpook National University, Daegu, South Korea
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

This paper presents an active contour model for extracting accurate facial regions in complex environments. In the model, a contour is represented by a zero level set of level function @f, and evolved via level set partial differential equations. Then, unlike general active contours, skin-color information that is represented by 2D-Gaussian model is used for evolving and stopping a curve, which allows the proposed method to be robust to noise and varying pose. To assess the effectiveness of the proposed method, it was tested with several natural scenes, and the results were compared with those of geodesic active contours. Experimental results demonstrate the superior performance of the proposed method.