A Comparative Study of descriptors and detectors in Multispectral Face Recognition

Abstract : Feature extraction is widely used in many computer vision problems such as object detection, image retrieval, object and scene recognition, etc. Feature extraction based on local feature detectors and descriptors requires a good compromise between the detectors and the descriptors. This paper presents a set of tools which are BRISK, FAST, FREAK, HARRIS and SURF for multispectral face recognition which is an alternative to conventional face recognition. The multispectral images are obtained by fusion of thermal and visible images.
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Communication dans un congrès
Yetongnon, K; Dipanda, A; DePietro, RCG; Gallo, L. 12th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Nov 2016, Naples, Italy. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), pp.219-214, 2016, 〈http://ieeexplore.ieee.org/document/7907468/〉. 〈10.1109/SITIS.2016.41〉
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01577404
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : vendredi 25 août 2017 - 15:28:34
Dernière modification le : mercredi 12 septembre 2018 - 01:27:17

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Mamadou Diarra, Kablan Jérôme Adou,, Pierre Gouton. A Comparative Study of descriptors and detectors in Multispectral Face Recognition. Yetongnon, K; Dipanda, A; DePietro, RCG; Gallo, L. 12th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS), Nov 2016, Naples, Italy. IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2016 12TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY & INTERNET-BASED SYSTEMS (SITIS), pp.219-214, 2016, 〈http://ieeexplore.ieee.org/document/7907468/〉. 〈10.1109/SITIS.2016.41〉. 〈hal-01577404〉

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