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A Study of Multi-Pose Effects On a Face Recognition System
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Review Article
A Study of Multi-Pose Effects On a Face Recognition System
Interpersonal and intrapersonal face variation interference caused by multiple poses is challenging for distance-based face recognition systems. In this paper, we investigate the face-feature distance distribution for Chinese multi-pose faces. The simulation shows that the number of individuals in the gallery database will greatly affect the recognition performance for near-profile face images. It also provides a prediction of the Top-N occurrence rates in different gallery-size environments.