Decision-level fusion approach to face recognition with multiple cameras
Seokwon Yeom · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
Face classification of multiple cameras has wide applications in surveillance. In this paper, the efficacy of a multi-frame decision-level fusion scheme for face classification based on the photon-counting linear discriminant analysis is investigated. The photon-counting linear discriminant analysis method is able to realize Fisher’s criterion without preprocessing for dimensionality reduction. The decision-level fusion scheme is comprised of three stages: score normalization, score validation, and score combination. After normalization, the candidate scores are selected and combined by means of a score validation process and a fusion rule, respectively, in order to generate a final score. In the experiments, out-of-focus and motion blurs are rendered on test images simulating harsh conditions.