作者: Lee Seng Yeong , Li-Minn Ang , Kah Phooi Seng
DOI: 10.1109/ISPACS.2009.4806698
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摘要: In this paper we describe a face detection method from grayscale images using watershed based region segmentation with neural network classifier. The algorithm segments the image into regions algorithm. are later merged and filtered leaving highly probable candidates. Using Dynamic Supervised Forward Propagation Network (DSFPN), system then verifies possible candidate for faces outputs closed boundary detected regions.