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...
We present a 3D face reconstruction system that takes as input either one single view or several different views. Given a facial image, we first classify the facial pose into one...
Abstract. Illumination variation is one of intractable yet crucial problems in face recognition and many lighting normalization approaches have been proposed in the past decades. N...
Hu Han, Shiguang Shan, Laiyun Qing, Xilin Chen, We...
— There are various scenarios where finding the most similar expression is the requirement rather than just classifying one, for example, facial expression transfer and facial e...
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually class...
Ritwik Kumar, Arunava Banerjee, CISE, Univ, Baba V...