Learning to Recognize Faces from Examples

@inproceedings{citeulike:847702, abstract = {We describe an implemented system that learns to recognize human faces under varying pose and illumination conditions. The system relies on symmetry operations to detect the eyes and the mouth in a face image, uses the locations of these features to normalize the appearance of the face, performs simple but effective dimensionality reduction by a convolution with a set of Gaussian receptive fields, and subjects the vector of activities of the receptive fields to a Radial Basis Function...}, author = {Edelman, Shimon and Reisfeld, Daniel and Yeshurun, Yehezkel }, booktitle = {European Conference on Computer Vision}, citeulike-article-id = {847702}, keywords = {face, recognition, representation}, pages = {787--791}, posted-at = {2007-03-29 22:17:59}, priority = {3}, title = {Learning to Recognize Faces from Examples}, url = {http://citeseer.ist.psu.edu/edelman91learning.html}, year = {1992} }

TY - CONF ID - citeulike:847702 L3 - citeulike-article-id:847702 N2 - We describe an implemented system that learns to recognize human faces under varying pose and illumination conditions. The system relies on symmetry operations to detect the eyes and the mouth in a face image, uses the locations of these features to normalize the appearance of the face, performs simple but effective dimensionality reduction by a convolution with a set of Gaussian receptive fields, and subjects the vector of activities of the receptive fields to a Radial Basis Function... EP - 791 TI - Learning to Recognize Faces from Examples T2 - European Conference on Computer Vision SP - 787 KW - face KW - recognition KW - representation AU - Edelman, Shimon AU - Reisfeld, Daniel AU - Yeshurun, Yehezkel PY - 1992/// UR - http://citeseer.ist.psu.edu/edelman91learning.html ER -