In this paper, we present a novel framework to address
the confounding effects of illumination variation in face
recognition. By augmenting the gallery set with realistically
re...
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...
This paper proposes a face hallucination method for the reconstruction of high-resolution facial images from single-frame, low-resolution facial images. The proposed method has bee...
Abstract. This paper proposes a new method to solve the problem of face recognition under varying illumination conditions. We introduce an exemplar-based technique to decouple and ...
We present an image-based method for face recognition across different illuminations and different poses, where the term `image-based' means that only 2D images are used and ...