Thermal Face Recognition Using Local Patterns

Hermosilla, G; Farías G.; VARGAS H.; Gallardo, F; San Martin C.

Keywords: face recognition, thermal face recognition, Local Binary Pattern, Local Derivative Pattern

Abstract

The aim of this article is to compare the performance of well-known visible recognition methods but using the thermal spectrum. Specifically, the work considers two local-matching based methods for face recognition commonly used in visible spectrum: Local Binary Pattern (LBP) and Local Derivative Pattern (LDP). The methods are evaluated and compared using the UCHThermalFace database, which includes evaluation methodology that considers real-world conditions. The comparative study results shown that, contrary to what happens in the visible spectrum, the LBP method obtains the best results from the thermal face recognition. On the other hand, LDP results show that it is not an appropriate descriptor for face recognition systems in the thermal spectrum.

Más información

Título según WOS: Thermal Face Recognition Using Local Patterns
Título según SCOPUS: Thermal face recognition using local patterns
Título de la Revista: BIO-INSPIRED SYSTEMS AND APPLICATIONS: FROM ROBOTICS TO AMBIENT INTELLIGENCE, PT II
Volumen: 8827
Editorial: SPRINGER INTERNATIONAL PUBLISHING AG
Fecha de publicación: 2014
Página de inicio: 486
Página final: 497
Idioma: English
Notas: ISI, SCOPUS