We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
Motion-based face recognition is a young research topic, inspired mainly by psychological studies on motionbased perception of human faces. Unlike its close relative, appearance-b...
Abstract. Automatic recognition of human faces is becoming increasingly popular in civilian and law enforcement applications that require reliable recognition of humans. However, t...
Ahmad-Reza Sadeghi, Thomas Schneider 0003, Immo We...
In this paper, we propose a novel classification method, called nearest intra-class space (NICS), for face recognition. In our method, the distribution of face patterns of each pe...
Abstract. Existing face recognition techniques struggle with their performance when identities have to be determined (recognized) based on image data captured under challenging ill...