The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Cognitive Neuroscience
Evaluation of 3d face recognition using registration and PCA
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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In this paper, we explore face detection and face recognition algorithms for ubiquitous computing environment. We develop algorithms for application programming interface (API) suitable for embedded system. The basic requirements include appropriate data format and collection of feature data to achieve efficiency of algorithm. Our experiment presents a face detection and face recognition algorithm for handheld devices. The essential part for proposed system includes; integer representation from floating point calculation, optimization of memory management scheme and efficient face detection performance on complex background scene.