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Research of Face Detection System Applied for Detecting Faces with Complex Background and Illumination

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5 Author(s)
Lei Dai ; Lab. of Artificial Neural Networks, Inst. of Semicond., Beijing ; Weijun Li ; Xu Chen ; Xiaoxian Jin
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An effective face detection system used for detecting multi-pose frontal face in gray images is presented. Image preprocessing approaches are applied to reduce the influence of the complex illumination. Eye-analog pairing and improved multiple related template matching are used to glancing and accurate face detecting, respectively. To shorten the time cost of detecting process, we employ prejudge rules in checking candidate image segments before template matching. Test by our own face database with complicated illumination and background, the system has high calculation speed and illumination independency, and obtains good experimental results.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:4 )

Date of Conference:

18-20 Oct. 2008

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