Abstract
This paper presents a methodology to detect face region and some features, i.e., eyes and mouth, from color frontal face images as follows. Firstly we scissor face regions from many color face images and construct a face chromatic histogram in hue and saturation chromatic space. Secondly we use both the face symmetry information and chromatic histogram to detect the face region from the input image. Thirdly the locations of the eyes and mouth on the face region are determined by both detecting the intensity valley regions and using the positional relations of eyes and mouth in the face region. To support the methodology, this paper presents an implementation of the methodology. The results of the implementation show a high success rate.
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© 1996 Springer-Verlag Berlin Heidelberg
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Yoo, TW., Oh, IS. (1996). Extraction of face region and features based on chromatic properties of human faces. In: Foo, N., Goebel, R. (eds) PRICAI'96: Topics in Artificial Intelligence. PRICAI 1996. Lecture Notes in Computer Science, vol 1114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61532-6_54
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DOI: https://doi.org/10.1007/3-540-61532-6_54
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