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Learning to Recognize Faces from Examples

Mekhon Ṿaitsman le-madaʻ. Department of Applied Mathematics and Computer ScienceShimon Edelman

出版	Weizmann Institute of Science, Department of Applied Mathematics and Computer Science, 1991
URL	http://books.google.com.hk/books?id=lestGwAACAAJ&hl=&source=gbs_api

註釋Abstract: "We describe an implemented system that learns to recognize human faces under varying pose and illumination conditions. The system relies on symmetry operations to detect the eyes and the mouth in a face image, uses the locations of these features to normalize the appearance of the face, performs simple but effective dimensionality reduction by a convolution with a set of Gaussian receptive fields, and subjects the vector of activities of the receptive fields to a Radial Basis Function interpolating classifier. The performance of the system compares favorably with the state of the art in machine recognition of faces."