A robust algorithm for detection of human faces in color images

Kwok Wai Wong, Kin Man Lam, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, an efficient algorithm for detecting human faces in color images is proposed. The first step of our algorithm is to segment the possible skin-like regions in an image by using color information. One of the major problems of using skin color is that a face region may not be detected under poor or intense lighting conditions, or if the lighting conditions vary over the face region. Our approach considers the distribution of the color components of skin pixels under different illumination. This information can be used to identify skin color pixels reliably under different lighting conditions. The skin color regions are then clustered and verified as human face regions or not. In order to improve the reliability of detection, an eigenmask that has a large magnitude at the important facial features of a human face is devised. Experimental results show that this algorithm can detect human faces under different lighting conditions reliably.
Original languageEnglish
Title of host publicationICSP 2002 - 2002 6th International Conference on Signal Processing, Proceedings
PublisherIEEE
Pages1112-1115
Number of pages4
Volume2
ISBN (Electronic)0780374886
DOIs
Publication statusPublished - 1 Jan 2002
Event6th International Conference on Signal Processing, ICSP 2002 - China Resouces Hotel, Beijing, China
Duration: 26 Aug 200230 Aug 2002

Conference

Conference6th International Conference on Signal Processing, ICSP 2002
CountryChina
CityBeijing
Period26/08/0230/08/02

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Computer Science Applications

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