Thermal face recognition using local interest points and descriptors for HRI applications

Gabriel Hermosilla, Patricio Loncomilla, Javier Ruiz-Del-Solar

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

9 Citas (Scopus)

Resumen

In this article a robust thermal face recognition methodology based on the use of local interest points and descriptors, is proposed. The methodology consists of the following stages: face segmentation, vascular network detection, wide baseline matching using local interest points and descriptors, and classification. The main contribution of this work is the use of a standard wide baseline matching methodology for the comparison of vascular networks from thermal face images. The proposed methodology is validated using a database of thermal images. This work could be of high interest for HRI applications related with the visual recognition of humans, as the ones included in the RoboCup @Home league, because the use of thermal images may overcome limitations such as dependency on illumination conditions and facial expressions.

Idioma originalInglés
Título de la publicación alojadaRoboCup 2010
Subtítulo de la publicación alojadaRobot Soccer World Cup XIV
Páginas25-35
Número de páginas11
DOI
EstadoPublicada - 2011
Publicado de forma externa
Evento14th Annual RoboCup International Symposium - Singapore, Singapur
Duración: 25 jun. 201025 jun. 2010

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen6556 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia14th Annual RoboCup International Symposium
País/TerritorioSingapur
CiudadSingapore
Período25/06/1025/06/10

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