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Article Dans Une Revue ISRN Machine Vision Année : 2013

Visible and Infrared Face Identification via Sparse Representation

Résumé

We present a facial recognition technique based on facial sparse representation. A dictionary is learned from data, and patches extracted from a face are decomposed in a sparse manner onto this dictionary. We particularly focus on the design of dictionaries that play a crucial role in the final identification rates. Applied to various databases and modalities, we show that this approach gives interesting performances. We propose also a score fusion framework that allows quantifying the saliency classifiers outputs and merging them according to these saliencies.
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Dates et versions

hal-00829451 , version 1 (03-06-2013)

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Pierre Buyssens, Marinette Revenu. Visible and Infrared Face Identification via Sparse Representation. ISRN Machine Vision, 2013, 2013, 10 p. ⟨10.1155/2013/579126⟩. ⟨hal-00829451⟩
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