Face Detection Using Fusion of Heterogeneous Template Matching

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  • 이경미 (덕성여자대학교 컴퓨터공학부)
  • Published : 2007.12.28


For fast and robust face detection, this paper proposes an approach for face detection using fusion of heterogeneous template matching. First, we detect skin regions using a model of skin color which covers various illumination and races. After reducing a search space by region labelling and filtering, we apply template matching with skin color and edge to the detected regions. Finally, we detect a face by finding the best choice of template fusion. Experimental results show the proposed approach is more robust in skin color-like environments than with a single template matching and is fast by reducing a search space to face candidate regions. Also, using a global accumulator can reduce excessive space requirements of template matching.


Face Detection;Template Matching;Fusion;Skin Color Detection