This paper describes an approach to face detection, which is the first stage of any fully automated human face recognition system. We propose several enhancements to a feature-based approach described by K.C. Yow and R. Cipolla (1997) in an attempt to obtain more accurate results: namely, the attentive feature selection and grouping phases are modified in order to deal with incomplete feature detection while, at the same time, reducing the number of candidates and candidate groups considered.
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机译：本文介绍了一种面部检测方法，这是任何全自动人脸识别系统的第一步。我们建议对K.C.描述的基于功能的方法进行一些增强。 Yow and R. Cipolla（1997）试图获得更准确的结果：即，对注意力特征选择和分组阶段进行了修改，以处理不完整的特征检测，同时减少了候选和候选的数量。团体考虑。
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