TY - GEN
T1 - Thermal face recognition using local patterns
AU - Hermosilla, Gabriel
AU - Farias, Gonzalo
AU - Vargas, Hector
AU - Gallardo, Francisco
AU - San-Martin, Cesar
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Face recognition
KW - Local Binary Pattern
KW - Local Derivative Pattern
KW - Thermal face recognition
UR - http://www.scopus.com/inward/record.url?scp=84949114943&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12568-8_60
DO - 10.1007/978-3-319-12568-8_60
M3 - Conference contribution
AN - SCOPUS:84949114943
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 486
EP - 497
BT - Progress in Pattern Recognition Image Analysis, Computer Vision and Applications - 19th Iberoamerican Congress, CIARP 2014, Proceedings
A2 - Bayro-Corrochano, Eduardo
A2 - Hancock, Edwin
PB - Springer Verlag
T2 - 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014
Y2 - 2 November 2014 through 5 November 2014
ER -