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 …

In this paper, we propose a new distinctive feature, called joint Haar-like feature, for
detecting faces in images. This is based on co-occurrence of multiple Haar-like features …

Because of its nonrigidity and complex three-dimensional (3D) structure, the appearance of
a face is affected by a large number of factors including identity, face pose, illumination …

The last decade has seen automatic face recognition evolve from small-scale research
systems to a wide range of commercial products. Driven by the FERET face database and …

This paper proposes a novel illumination compensation algorithm, which can compensate
for the uneven illuminations on human faces and reconstruct face images in normal lighting …

This paper presents the successive mean quantization transform (SMQT). The transform
reveals the organization or structure of the data and removes properties such as gain and …

We introduce an iterative algorithm for shape reconstruction from multiple images of a
moving (Lambertian) object illuminated by distant (and possibly time varying) lighting …

Face recognition in video has gained wide attention as a covert method for surveillance to
enhance security in a variety of application domains (eg, airports). A video contains temporal …

This paper explores the successive mean quantization transform (SMQT) for automatic
enhancement of gray-scale images. The transform is in the paper presented using set …

Spaces that optimally contain the Set of images that are generated by varying the
illumination impinging on the Surface of a three-dimensional object for many different …