Face recognition: Features versus templates
R Brunelli, T Poggio - IEEE transactions on pattern analysis …, 1993 - ieeexplore.ieee.org
IEEE transactions on pattern analysis and machine intelligence, 1993•ieeexplore.ieee.org
Two new algorithms for computer recognition of human faces, one based on the
computation of a set of geometrical features, such as nose width and length, mouth position,
and chin shape, and the second based on almost-gray-level template matching, are
presented. The results obtained for the testing sets show about 90% correct recognition
using geometrical features and perfect recognition using template matching.<>
computation of a set of geometrical features, such as nose width and length, mouth position,
and chin shape, and the second based on almost-gray-level template matching, are
presented. The results obtained for the testing sets show about 90% correct recognition
using geometrical features and perfect recognition using template matching.<>
Two new algorithms for computer recognition of human faces, one based on the computation of a set of geometrical features, such as nose width and length, mouth position, and chin shape, and the second based on almost-gray-level template matching, are presented. The results obtained for the testing sets show about 90% correct recognition using geometrical features and perfect recognition using template matching.< >
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