25 August 2004 Face detection using region information
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This paper presents a novel algorithm to quickly detect faces from still gray level images. The algorithm first detects the upper eyelid pixels using the eye region's gray and gradient information, which can be computed by the integral image very quickly. Then according to the anthropological characteristic of human face, some rules are used to select eyes and the pairs of eyes candidates from the detected eyelid pixels. Finally, a hierarchy method is proposed to verify whether a pair of eyes candidate corresponds to a true face. Experiment on the BioID face database shows that the proposed method is very robust to detect the upper eyelid pixels and the rate of face detection is satisfactory. In terms of accuracy of eye detection, the proposed method outperforms other methods.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiming Liu, Zhiming Liu, Yao Li, Yao Li, Wei Zhong, Wei Zhong, } "Face detection using region information", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); doi: 10.1117/12.542333; https://doi.org/10.1117/12.542333

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