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 …

Intrinsic images are a useful midlevel description of scenes proposed by HG Barrow and JM
Tenenbaum (1978). An image is de-composed into two images: a reflectance image and an …

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

We propose a model-and exemplar-based approach for face recognition. This problem has
been previously tackled using either models or exemplars, with limited success. Our idea …

In this paper, we present a segmented linear subspace model for face recognition that is
robust under varying illumination conditions. The algorithm generalizes the 3D illumination …

We have developed a fast robust 3D head tracking system based on rendering a texture-
mapped cylinder. In order to handle the variable frame-to-frame motion changes, the system …

Face recognition is one of the most interesting and challenging problems in computer vision.
A great difficulty in face recognition is the separation of intrinsic facial characteristics from …

This paper focuses on the detection of objects with Lambertian surface under both varying
illumination and pose. We offer to apply a novel detection method that proceeds by …

We describe a method for object recognition with 2D image queries to be identified from
among a set of 3D models. The pose is known from a previous step. The main target …

We analyze theoretically the subspace best approximating images of a convex Lambertian
object under different distant illumination conditions. Since the lighting is an arbitrary …