3D Pose estimation and normalization for face recognition Export

@misc{citeulike:910876, abstract = {Abstract Automatic face recognition has been a difficult problem in the field of computer vision for many years. Robust face recognition requires the ability to recognize identity despite many variations in appearance the face can have in a scene. We propose preceding recognition with a hierarchical detection system capable of searching images for human faces efficiently and with invariance to position, deformation, illumination, scale, and 3D pose. The detection and localization of a face are...}, address = {Montreal, Quebec, Canada}, author = {Jebara, Tony S.}, citeulike-article-id = {910876}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.8756}, keywords = {normalization, pose-estimation, recognition}, posted-at = {2006-10-24 09:39:55}, priority = {3}, school = {McGill University}, title = {3D Pose estimation and normalization for face recognition}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.8756}, year = {1996} }

TY - GEN ID - citeulike:910876 L3 - citeulike-article-id:910876 N2 - Abstract Automatic face recognition has been a difficult problem in the field of computer vision for many years. Robust face recognition requires the ability to recognize identity despite many variations in appearance the face can have in a scene. We propose preceding recognition with a hierarchical detection system capable of searching images for human faces efficiently and with invariance to position, deformation, illumination, scale, and 3D pose. The detection and localization of a face are... AD - Montreal, Quebec, Canada TI - 3D Pose estimation and normalization for face recognition KW - normalization KW - pose-estimation KW - recognition AU - Jebara, Tony PY - 1996/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.8756 ER -