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Multiple Template Matching for Frontal View Face Detection

YUAN Chao,ZHANG Chang shui(Department of Automation,Tsinghua University,Beijing 100084,China)  
In this paper,we present a new method for frontal view face detection.Instead of viewing face patterns as a single cluster in the high dimensional space as several previous approaches,we propose that face patterns can be better described by multiple clusters.We obtain four clsters by employing an optimal clustering method.Using each cluster center as a template,we adopt Mahalanobis distance based template matching to find the face location in an image.The experimental results show that our method outperforms the methods that are based on a single cluster.
【Fund】: 国家“八六三”高技术项目 !( 863 30 6 0 3 0 1 3)
【CateGory Index】: TP391.4
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