Mean-shift based mixture model for face detection in color image

Tze Yin Chow, Kin Man Lam

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

6 Citations (Scopus)

Abstract

Human face detection is a challenging task under different lighting conditions. In this paper, we propose an efficient and reliable algorithm to detect human faces in an image. In our algorithm, skin-colored pixels under various lighting conditions are identified by using a region-based approach. Within the detected skin-color regions, a ratio method is proposed to determine possible eye candidates. Two eye candidates form a possible face region, which is then verified by means of a two-stage procedure with an eigenmask. Experimental results based on the HHI MPEG-7 face database show that this face detection algorithm is efficient and reliable under different lighting conditions.
Original languageEnglish
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Pages601-604
Number of pages4
Volume1
DOIs
Publication statusPublished - 1 Dec 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 18 Oct 200421 Oct 2004

Conference

Conference2004 International Conference on Image Processing, ICIP 2004
Country/TerritorySingapore
Period18/10/0421/10/04

ASJC Scopus subject areas

  • Engineering(all)

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