ECCV 2012 - LNCS 7572-7578 and 7583-7585

Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches

Liang Chen^{1, 2}, Ling Yan², Yonghuai Liu³, Lixin Gao¹, and Xiaoqin Zhang¹

¹Wenzhou University, China

²University of Northern British Columbia, Canada

³Aberystwyth University, UK

Abstract. This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled blocks; each block pile consists of a few heavily overlapped blocks from the face image. An ensemble of blocks, one from each pile, is taken as a candidate image of the face. When a descriptor based approach is used, we are able to generate a displacement description template for the face by replacing each block in the template with its local description, where a concatenation of the local descriptions of the blocks, one from each pile, is taken to be a candidate description of the face. Using the description template together with a divide-and-conquer algorithm for computing the similarities between description templates, we have demonstrated the significantly improved performance of LBP, TPLBP and FPLBP templates over original LBP, TPLBP and FPLBP approaches by the experiments on benchmark face databases.

Keywords: Descriptor Approach, Template, Face Recognition

LNCS 7576, p. 214 ff.

Full article in PDF | BibTeX