Publication: A graph-based framework for thermal faceprint characterization
Loading...
Date
Advisor
Coadvisor
Graduate program
Undergraduate course
Journal Title
Journal ISSN
Volume Title
Publisher
Type
Work presented at event
Access right
Acesso aberto
Abstract
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. © 2011 Springer-Verlag.
Description
Keywords
Faceprint, Image Foresting Transform, Optimum-Path Forest, Thermal Face Recognition, Data sets, Face segmentation, Graph-based, Graph-based techniques, Image foresting transforms, Infrared spectrum, Robust methods, Blood vessels, Image analysis, Spectroscopy, Face recognition
Language
English
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6978 LNCS, n. PART 1, p. 169-177, 2011.
