7 February 2011 Multi-frame decision level fusion for face classification based on a photon-counting linear discriminant analysis
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Proceedings Volume 7877, Image Processing: Machine Vision Applications IV; 78770F (2011); doi: 10.1117/12.872380
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Face classification in an uncontrolled setting has wide applications in security and surveillance systems. Multiple frames are often available for this purpose captured by multiple sensors or a single sensor generating video clips. Data fusion technique for face classification has an advantage in that a considerable amount of information can be used to achieve high recognition performance. This paper investigates the efficacy of multi-frame decision level fusion for face classification based on a photon-counting linear discriminant analysis, which realizes Fisher's criterion without dimensionality reduction. Decision level fusion comprises two stages: score validation and score combination. During score validation, candidate symbols (classes) are selected by a screening process. During score combination, the candidate scores are combined in order to make a final decision. In the experiments, a facial image database is employed to show the preliminary results of the proposed technique.
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Seokwon Yeom, "Multi-frame decision level fusion for face classification based on a photon-counting linear discriminant analysis", Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 78770F (7 February 2011); doi: 10.1117/12.872380; https://doi.org/10.1117/12.872380
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KEYWORDS
Image fusion

Data fusion

Databases

Sensors

Photon counting

Computer security

Facial recognition systems

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