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
Autenticação biométrica on-line de usuários em aplicações web de Ensino a distância
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
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
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Face recognition from video sequences is becoming an important area of biometrics research. In this work, we explore different strategies to improve face recognition performance from video. We develop a good strategy to select the smallest number of frames to achieve a high level of performance. We apply Principal Component Analysis to identify suitable frames to represent the subjects. We demonstrate our approaches on our dataset, which uses three different cameras and is larger than any known research database of video face sequences. Finally, we compare our approach to an existing approach from UCSD [8, 9] and show that it performs slightly better than that approach (99% rank one recognition rate).