A color-triangle-based approach to the detection of human face

Chiunhsiun Lin, Kuo Chin Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsTomaso Poggio, Seong-Whan Lee, Heinrich H. Bulthoff
PublisherSpringer Verlag
Pages359-368
Number of pages10
ISBN (Print)3540675604, 9783540675600
DOIs
StatePublished - 2000
Event1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000 - Seoul, Korea, Republic of
Duration: 15 May 200017 May 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1811
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st IEEE International Workshop on Biologically Motivated Computer Vision, BMCV 2000
Country/TerritoryKorea, Republic of
CitySeoul
Period15/05/0017/05/00

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