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A Novel Approach to Mugshot Based Arbitrary View Face Recognition
Dan Zeng,Shuqin Long,Jing Liu,Qijun Zhao 한국광학회 2016 Current Optics and Photonics Vol.20 No.2
Mugshot face images, routinely collected by police, usually contain both frontal and profile views. Existing automated face recognition methods exploited mugshot databases by enlarging the gallery withsynthetic multi-view face images generated from the mugshot face images. This paper, instead, proposesto match the query arbitrary view face image directly to the enrolled frontal and profile face images. Duringmatching, the 3D face shape model reconstructed from the mugshot face images is used to establishcorresponding semantic parts between query and gallery face images, based on which comparison is done. The final recognition result is obtained by fusing the matching results with frontal and profile face images. Compared with previous methods, the proposed method better utilizes mugshot databases without usingsynthetic face images that may have artifacts. Its effectiveness has been demonstrated on the Color FERETand CMU PIE databases.