Data insufficiency in sketch versus photo face recognition

Jonghyun Choi, Abhishek Sharma, David W. Jacobs, Larry S. Davis
2012 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
Computerized sketch-face recognition is a crucial element for law enforcement and has received considerable attention in the recent literature. Sketches of the suspect are hand-drawn or computer-rendered based on a verbal description of the suspect. However, the most popular and the only publicly available dataset, i.e. the CUFS facesketch dataset, is far from realistic because the sketches are hand-drawn with the artist looking at the photographs to be matched later. After years of effort,
more » ... archers are producing nearly perfect results. However, we show that this is not because the problem is solved, but because of flaws in the dataset. In this paper, we empirically show that an off-the-shelf face recognition system for photo-sketch and sketch-photo matching with simple shape and edge features outperforms more sophisticated state-of-the-art approaches even without using training data. We additionally show that just using the hair region gives a 85.22% recognition rate. Based on the empirical evidences we argue that the current dataset available for face-sketch matching purposes is not appropriate and needs to be replaced by a more realistic one for advancement of this field. 1 The term is coined in [9]
doi:10.1109/cvprw.2012.6239208 dblp:conf/cvpr/ChoiSJD12 fatcat:ofe7yvbrangkpmdso7f7lrrjye