A similarity-based method for the generalization of face recognition over pose and expression /
Duvdevani-Bar, Sharon.
University of Sussex.
University of Sussex.School of Cognitive and Computing Sciences.
Brighton [East Sussex] : University of Sussex at Brighton,
[1998].
Abstract: "Human observers are capable of recognizing a face seen only once before when confronted with it subsequently under different viewing conditions.  We constructed a working computational model of such generalization from a single view, and tested it on a homogeneous database of face images obtained under tightly controlled viewing conditions.  The model effectively constructs a view space for novel faces by interpolating view spaces of familiar ones [5].  Its performance -- 30% error rate in one out of 18 recognition, and 8% in one out of three discrimination -- is encouraging, given that it reflects generalization from a single view/expresion to a range of [+ or -]34 ̊rotation in depth and to two additional expressions.  For comparison, human subjects in the one out of three task [sic] involving only viewpoint changes exhibit a 3% error rate [11]."
Cover title.
"Published in the Proceedings of the Third IEEE International Conference on Automatic Face and Gesture Recognition, April 1998, Nara, Japan."--P. [1].
"January 1998."
Includes bibliographical references.
Abstract: "Human observers are capable of recognizing a face seen only once before when confronted with it subsequently under different viewing conditions.  We constructed a working computational model of such generalization from a single view, and tested it on a homogeneous database of face images obtained under tightly controlled viewing conditions.  The model effectively constructs a view space for novel faces by interpolating view spaces of familiar ones [5].  Its performance -- 30% error rate in one out of 18 recognition, and 8% in one out of three discrimination -- is encouraging, given that it reflects generalization from a single view/expresion to a range of [+ or -]34 ̊rotation in depth and to two additional expressions.  For comparison, human subjects in the one out of three task [sic] involving only viewpoint changes exhibit a 3% error rate [11]."
Human face recognition (Computer science)