@inproceedings{bcfb222d6edd40ba8dc2fe1527dc4908,
title = "Extraction of face region and features based on chromatic properties of human faces",
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.",
author = "Yoo, \{Tae Woong\} and Oh, \{Il Seok\}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1996.; 4th Pacific Rim International Conference on Artificial Intelligence, PRICAI 1996 ; Conference date: 26-08-1996 Through 30-08-1996",
year = "1996",
doi = "10.1007/3-540-61532-6\_54",
language = "English",
isbn = "3540615326",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "637--645",
editor = "Norman Foo and Randy Goebel",
booktitle = "PRICAI 1996",
}