Issue No. 10 - October (1993 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.254061
<p>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.</p>
feature-based recognition; template-based recognition; nose length; computer recognition; geometrical features; nose width; mouth position; chin shape; almost-gray-level template matching; face recognition
T. Poggio and R. Brunelli, "Face Recognition: Features Versus Templates," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 1042-1052, 1993.