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Proceedings Paper

Multi-angle face detection based on skin color and histogram with complex background
Author(s): Jun Bao; Shengrong Gong; ChunPing Liu
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Paper Abstract

Face detection is a key step in computer vision applications, such as face recognition and video surveillance. There is a difficult question in automatically segmenting color images into skin color and background regions when using the method of skin color segmentation. The border of skin color region has some background noise patches, especially using edge detection to extract facial organ characteristics, which will lead to some redundant gradient features near the border. In this paper, we introduce a new method based on the histogram to smooth face contour and reduce background noise patches. The performance of our face detector based on the smoothing contour algorithm has been tested on reference test sets, and clearly show some improvements in face detection which is based on knowledge-based methodology.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951O (30 October 2009); doi: 10.1117/12.832856
Show Author Affiliations
Jun Bao, Soochow Univ. (China)
Shengrong Gong, Soochow Univ. (China)
ChunPing Liu, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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