Advances in neural information processing systems 2
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
View-Based Active Appearance Models
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A person-specific, rigorous aging model of the human face
Pattern Recognition Letters
A person-specific, rigorous aging model of the human face
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
New methodology in facial composite construction: from theory to practice
International Journal of Electronic Security and Digital Forensics
A New Computational Methodology for the Construction of Forensic, Facial Composites
IWCF '09 Proceedings of the 3rd International Workshop on Computational Forensics
A biometric database with rotating head videos and hand- drawn face sketches
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Hand-drawn face sketch recognition by humans and a PCA-based algorithm for forensic applications
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Towards a comprehensive 3D dynamic facial expression database
SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
A probabilistic approach to semantic face retrieval system
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
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EvoFIT, a computerized facial composite system is being developed as an alternative to current systems. EvoFIT faces are initially presented to a witness with random characteristics, but through a process of selection and breeding, a composite is "evolved." Comparing composites constructed with E-FIT, a current system, a naming rate of 10% was found for EvoFIT and 17% for E-FIT. Analysis revealed that target age was limiting factor for EvoFIT and a second study with age-appropriate targets visible during composite construction produced a naming rate similar to E-FIT. Two more-realistic studies were conducted that involved young target faces and two current systems (E-FIT and PROfit). Composites from both of these experiments were poorly named but a significant benefit emerged for EvoFIT.