Christopher Reale

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Heterogeneous face recognition is the problem of identifying a person from a face image acquired with a nontraditional sensor by matching it to a visible gallery. Most approaches to this problem involve modeling the relationship between corresponding images from the visible and sensing domains. This is typically done at the patch level and/or with shallow(More)
Thermal to visible face recognition is the problem of identifying a thermal infrared (IR) face image given a gallery of visible light face images. We attempt to solve this problem by learning coupled dictionaries to represent the two domains. The dictionaries provide a sparse representation which transforms the data into a single, domain-independent, latent(More)
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