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- W1599954882 abstract "Human face detection is a challenging task under different lighting conditions. We propose an efficient and reliable algorithm to detect human faces in an image. Our algorithm uses a region-based approach to identify skin-colored pixels under various lighting conditions. 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." @default.
- W1599954882 created "2016-06-24" @default.
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- W1599954882 date "2005-04-19" @default.
- W1599954882 modified "2023-10-03" @default.
- W1599954882 title "Mean-shift based mixture model for face detection in color image" @default.
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- W1599954882 doi "https://doi.org/10.1109/icip.2004.1418826" @default.
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