Facial Image Pattern Recognition Based on Triple Space Fusion
GAO Xin-Bo1, WANG Nan-Nan1, PENG Chun-Lei1, LI Cheng-Yuan2
1.State Key Laboratory of Integrated Services Networks, Xidian University, Xi′an 710071 2.Division of Image and Video Surveillance and Forensics, Baoji Public Security Bureau, Baoji 721000
Abstract:With the help of human experience knowledge and cognition, the performance of pattern recognition can be improved for some complex applications, and therefore it is important to construct a pattern recognition system based on the fusion of the physical space, the cyberspace and the cognitive space. In this paper, facial image recognition, which is widely applied in forensic evidence, is taken as an example. Its recent advances in pattern recognition based on triple space fusion are summarized. Sketch based face recognition techniques are introduced from three aspects: synthesis based methods, common space projection based methods and feature descriptor based methods. Some discussions and further development directions are also given. These methods provide technical support for some applications in the field of public security.
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