This paper describes a method for recognizing partially occluded objects under different levels of illumination brightness by using the eigenspace analysis. In our previous work, w...
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...
We present a technique for capturing high-resolution 4D reflectance fields using the reciprocity property of light transport. In our technique we place the object inside a diffu...
In this paper we consider the problem of factoring illumination and texture from a pair of images of a diffuse object of known geometry. This problem arises frequently in 3D photo...
— In this paper, we propose a multi-level shadow identification scheme which is generally applicable without restrictions on the number of light sources, illumination conditions...
Ajay J. Joshi, Stefan Atev, Osama Masoud, Nikolaos...
This paper introduces a new architecture for face detection in color images. Based on skin locus and successive detectors, the method allows high efficiency under drastically vary...
Abdenour Hadid, Birgitta Martinkauppi, Matti Pieti...
This paper brings together two recent developments in image analysis. We consider a new mathematical framework that provides illumination invariant descriptors for face detection....
We present an algorithm for illumination invariant 3D model based tracking and video compression. While model-based coding schemes are well developed, the compression rate reduces...
A face recognition system must recognize a face from a novel image despite the variations between images of the same face. A common approach to overcoming image variations because...
This paper presents a top-down approach to 3D data analysis by fitting a Morphable Model to scans of faces. In a unified framework, the algorithm optimizes shape, texture, pose an...