Title :
Face recognition: features versus templates
Author :
Brunelli, Roberto ; Poggio, Tomaso
Author_Institution :
Istituto per la Ricerca Sci. e Tecnologica, Trento, Italy
fDate :
10/1/1993 12:00:00 AM
Abstract :
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
Keywords :
face recognition; almost-gray-level template matching; chin shape; computer recognition; feature-based recognition; geometrical features; mouth position; nose length; nose width; template-based recognition; Artificial intelligence; Eyes; Face recognition; Humans; Image databases; Mouth; Nose; Shape; Spatial databases; Testing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
