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Recognizing Avatar Faces
Criminal activity in virtual worlds is becoming a major problem for law enforcement agencies. Forensic investigators are becoming interested in being able to accurately and automatically track people in virtual communities. In this paper a set of algorithms capable of verification and recognition of avatar faces with high degree of accuracy are described. Results of experiments aimed at within-virtual-world avatar authentication and inter-reality-based scenarios of tracking aperson between real and virtual worlds are reported. In the FERET-to-Avatar face dataset, where an avatar face was generated from every photo in the FERET database, a COTS FR algorithm achieved a near perfect 99.58% accuracy on 725 subjects. On a dataset of avatars from Second Life, the proposed avatar-to-avatar matching algorithm (which uses a fusion of local structural and appearance descriptors) achieved average true accept rates of (i) 96.33% using manual eye detection, and (ii) 86.5% in a fully automated mode at a false accept rate of 1.0%. A combination of the proposed face matcher and a state-of-the art commercial matcher (FaceVACS) resulted in furtheri mprovement on the inter-reality-based scenario.
| Download Paper | |
| Full Title | Face Recognition in the Virtual World: Recognizing Avatar Faces |
| Year | 2012 |
| Language | English |
| Keywords | virtual world, Second Life, avatar, face recognition, avatar face recognition, local image features, forensic investigation, face matching, Face detection, image normalization, face representation |
| Synonym | Avatar |
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