As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

One of the major challenges encountered by current face recognition techniques lies in the
difficulties of handling varying poses, ie, recognition of faces in arbitrary in-depth rotations …

Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in
face recognition, specifically for the problem of face verification with unconstrained images …

Pengenalan wajah, fitur biometrik yang penting, menghadapi banyak masalah, seperti
posisi dan variasi pencahayaan. Biasanya, citra wajah memiliki latar belakang yang …

Making recognition more reliable under uncontrolled lighting conditions is one of the most
important challenges for practical face recognition systems. We tackle this by combining the …

We develop a face recognition algorithm which is insensitive to large variation in lighting
direction and facial expression. Taking a pattern classification approach, we consider each …

We present a generative appearance-based method for recognizing human faces under
variation in lighting and viewpoint. Our method exploits the fact that the set of images of an …

Visual tracking, in essence, deals with non-stationary image streams that change over time.
While most existing algorithms are able to track objects well in controlled environments, they …

Previous work has demonstrated that the image variation of many objects (human faces in
particular) under variable lighting can be effectively modeled by low-dimensional linear …

We prove that the set of all Lambertian reflectance functions (the mapping from surface
normals to intensities) obtained with arbitrary distant light sources lies close to a 9D linear …