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)


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
Number of pages4
Publication statusPublished - 1 Dec 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 18 Oct 200421 Oct 2004


Conference2004 International Conference on Image Processing, ICIP 2004

ASJC Scopus subject areas

  • Engineering(all)

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