Analysis on features and metrics in face image retrieval system

Abstract

In the field of face recognition (FR) and face image retrieval (FIR), features and metrics have received great attention in recent years due to their direct influence on the performance of a FR/FIR system. In this paper, we analyze the two factors for FIR in following steps. First, the face images are aligned to the same size, moreover, their illumination is balanced. Second, we extract classic features widely used in face recognition and retrieval, then utilize them in feature matching with different metrics. At last, face retrieval is performed based on the distances calculated with multiple metrics. We evaluate the efficiency of features and metrics by face retrieval in Face Recognition Grand Challenge (FRGC) database. Experimental results not only serves to select features and metrics for FIR, they also demonstrate that the two variables affect FR and FIR in different ways. © Springer International Publishing 2013.