We propose an algorithm to recognize faces illuminated by arbitrarily placed, multiple light sources. The algorithm does not need to know the number of light sources and works extr...
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we gene...
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellapp...
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
It is a challenge to recognize faces under variable poses or illumination directions. In the area of multiview face recognition, many experimental results have shown that the perfo...
Wu-Jun Li, Chong-Jun Wang, Dianxiang Xu, Bin Luo, ...
Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. R...