A Graph-Based Framework for Thermal Faceprint Characterization
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Data
2011-01-01
Autores
Osaku, Daniel [UNESP]
Marana, Aparecido Nilceu [UNESP]
Papa, Joao Paulo [UNESP]
Maino, G.
Foresti, G. L.
Título da Revista
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Editor
Springer
Resumo
Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels network of the face. In this work, we propose a novel framework for thermal faceprint extraction using a collection of graph-based techniques, which were never used to this task up to date. A robust method of thermal face segmentation is also presented. The experiments, which were conducted over the UND Collection C dataset, have showed promising results.
Descrição
Palavras-chave
Faceprint, Image Foresting Transform, Optimum-Path Forest, Thermal Face Recognition
Como citar
Image Analysis And Processing - Iciap 2011, Pt I. Berlin: Springer-verlag Berlin, v. 6978, p. 169-177, 2011.