@inproceedings{ff19708d43fb42548239b187350c2c06,
title = "A color-triangle-based approach to the detection of human face",
abstract = "A robust and efficient human face detection system that can detect multiple faces in various surroundings is presented in this paper. The proposed system consists of two principal parts. The first part is to search for the potential face regions. The second part is to perform face verification task. Our system can conquer different size, different lighting condition, varying pose and expression, and noise and defocus problems. In addition to overcome the problem of partial occlusion of mouth and sunglasses, the color segmentation process can successfully extract skin color from complex backgrounds. Experimental results demonstrate that an approximately 98% success rate is achieved. The experimental results reveal that the proposed method is better than traditional methods in terms of efficiency and accuracy.",
author = "Chiunhsiun Lin and Fan, {Kuo Chin}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin-Heidelberg 2000.; 1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 ; Conference date: 15-05-2000 Through 17-05-2000",
year = "2000",
doi = "10.1007/3-540-45482-9_36",
language = "???core.languages.en_GB???",
isbn = "3540675604",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "359--368",
editor = "Tomaso Poggio and Seong-Whan Lee and Bulthoff, {Heinrich H.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}