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Proceedings Paper

Novel algorithm for automatic detection of faces and facial features in color images
Author(s): Yanchao Xing; Zheng Tan; Shuanhu Wu
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Paper Abstract

In this paper, we presented an algorithm that implements the automatic detection of faces and facial features in color images. First, we use the chroma chart technique to determine the skin regions, then separate the touching regions apart using morphological operators; Second, we extract the candidate facial feature regions using morphological valley operators, for each skin region; Third, we match the candidate facial features with the model face we proposed to determine the optimal facial feature combination of eyes and mouth, thus we get the final description of the faces' geometric information. In this work, we improved the performance of the chroma chart, introduced morphological operators into the skin region analysis and facial feature detection, put forward our matching scheme that's fast and stable. The whole process is completely automatic, and is robust to lighting conditions, shading, tilt, multiple faces, etc.

Paper Details

Date Published: 21 September 2001
PDF: 6 pages
Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); doi: 10.1117/12.441470
Show Author Affiliations
Yanchao Xing, Xi'an Jiaotong Univ. (China)
Zheng Tan, Xi'an Jiaotong Univ. (China)
Shuanhu Wu, Xi'an Jiaotong Univ. (Hong Kong)

Published in SPIE Proceedings Vol. 4550:
Image Extraction, Segmentation, and Recognition
Tianxu Zhang; Bir Bhanu; Ning Shu, Editor(s)

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