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Lancement des projets lauréats de l’appel à projets Flash JOP24

Lancement des projets lauréats de l’appel à projets Flash JOP24

Katel Le Floc’h & François Murgadella: » Download the press release «

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Robust face authentication based on dynamic quality-weighted comparison of visible and thermal-to-visible images to visible enrollments

Robust face authentication based on dynamic quality-weighted comparison of visible and thermal-to-visible images to visible enrollments

Abstract We introduce, in this paper, a new scheme of score level fusion for face authentication from visible and thermal face data. This proposed scheme provides a fast and straightforward integration into existing face recognition systems and does not require recollection of enrollment data in thermal spectrum.

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On the discriminative power of learned vs. hand-crafted features for crowd density analysis

On the discriminative power of learned vs. hand-crafted features for crowd density analysis

Image credit: Unsplash Abstract Crowd density analysis is a crucial component in video surveillance mainly for security monitoring. This paper proposes a novel approach for crowd density classification, in which learned features substitute the commonly used handcrafted features.

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