TY - GEN
T1 - Face recognition under bad illumination conditions
AU - de los Santos, Daniel Toledo
AU - Nakano-Miyatake, Mariko
AU - Toscano-Medina, Karina
AU - Sanchez-Perez, Gabriel
AU - Perez-Meana, Hector
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Accurate face recognition in variable illumination environments has attracted the attention of the researchers in recent years, because there are many applications in which these systems must operate under uncontrolled lighting conditions. To this end, several face recognition algorithms have been proposed which include an image enhancement stage before performing the recognition task. However, although the image enhancement stage may improve the performance, it also increases the computational complexity of face recognition algorithms. Because this fact may limit their use in some practical applications, recently some algorithms have been developed that intend to provide enough robustness under variable illumination conditions without requiring an image enhancement stage. Among them, the local binary pattern and eigenphasesbased schemes are two of the most successful ones. This paper presents an analysis of the recognition performance of these approaches under varying illumination conditions, with and without image enhancement preprocessing stages. Evaluation results show the robustness of both approaches when they are required to operate in illumination varying environments.
AB - Accurate face recognition in variable illumination environments has attracted the attention of the researchers in recent years, because there are many applications in which these systems must operate under uncontrolled lighting conditions. To this end, several face recognition algorithms have been proposed which include an image enhancement stage before performing the recognition task. However, although the image enhancement stage may improve the performance, it also increases the computational complexity of face recognition algorithms. Because this fact may limit their use in some practical applications, recently some algorithms have been developed that intend to provide enough robustness under variable illumination conditions without requiring an image enhancement stage. Among them, the local binary pattern and eigenphasesbased schemes are two of the most successful ones. This paper presents an analysis of the recognition performance of these approaches under varying illumination conditions, with and without image enhancement preprocessing stages. Evaluation results show the robustness of both approaches when they are required to operate in illumination varying environments.
KW - Face recognition
KW - Filters
KW - Image analysis
KW - Retinex theory
UR - http://www.scopus.com/inward/record.url?scp=84945951505&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-22689-7_39
DO - 10.1007/978-3-319-22689-7_39
M3 - Contribución a la conferencia
SN - 9783319226880
T3 - Communications in Computer and Information Science
SP - 506
EP - 516
BT - Intelligent Software Methodologies, Tools and Techniques - 14th International Conference, SoMeT 2015, Proceedings
A2 - Fujita, Hamido
A2 - Guizzi, Guido
PB - Springer Verlag
T2 - 14th International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, SoMeT 2015
Y2 - 15 September 2015 through 17 September 2015
ER -