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 language | English |
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Title of host publication | 2004 International Conference on Image Processing, ICIP 2004 |
Pages | 601-604 |
Number of pages | 4 |
Volume | 1 |
DOIs | |
Publication status | Published - 1 Dec 2004 |
Event | 2004 International Conference on Image Processing, ICIP 2004 - , Singapore Duration: 18 Oct 2004 → 21 Oct 2004 |
Conference
Conference | 2004 International Conference on Image Processing, ICIP 2004 |
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Country | Singapore |
Period | 18/10/04 → 21/10/04 |
ASJC Scopus subject areas
- Engineering(all)