Non-frontal model based approach to forensic face recognition


Dutta, Abhishek and Veldhuis, Raymond and Spreeuwers, Luuk (2012) Non-frontal model based approach to forensic face recognition. In: ICT: The Innovation Highway, CTIT Symposium 2012, 18 June 2012, Enschede, Netherlands.

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Abstract:In this paper, we propose a non-frontal model based approach which ensures that a face recognition system always gets to compare images having similar view (or pose). This requires a virtual suspect reference set that consists of non-frontal suspect images having pose similar to the surveillance view trace image. We apply the 3D model reconstruction followed by image synthesis approach to the frontal view mug shot images in the suspect reference set in order to create such a virtual suspect reference set. This strategy not only ensures a stable 3D face model reconstruction because of the relatively good quality mug shot suspect images but also provides a practical solution for forensic cases where the trace is often of very low quality. For most face recognition algorithms, the relative pose difference between the test and reference image is one of the major causes of severe degradation in recognition performance. Moreover, given appropriate training, comparing a pair of non-frontal images is no more difficult that comparing frontal view images.
Item Type:Conference or Workshop Item
Additional information:This poster received the first prize of €500 in the CTIT Poster Competition 2012. Out of the 35 submitted abstracts, 19 were selected to be presented at the poster competition. Updates available at: The 1 page abstract (submitted to CTIT Symposium 2012) has been published at: {}
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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