Face recognition: features versus templates
Roberto BrunelliIstituto per la Ricerca Scientifica e Tecnologica, Trento, ItalyTomaso PoggioArtificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
1993en
ABI
Аннотация
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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