Title :
Illumination Variation in Face Recognition: A Review
Author :
Yan Gang ; Li Jiawei ; Li Jiayu ; Ma Qingli ; Yu Ming
Author_Institution :
Coll. of Comput. Sci. & Software, Hebei Univ. of Technol., Tianjin, China
Abstract :
The change of illumination problem is still a challenging and difficult problem in face recognition under complex illumination condition. There were many proposals that dealing with illumination problem in face recognition in the past decade. In this paper, we classify the existing methods into three main categories and introduce the representative algorithms and theories, then analyze the advantages and disadvantages of these algorithms correspondingly. As a result of this study we conclude direction of future research.
Keywords :
algorithm theory; face recognition; complex illumination condition; face recognition; representative algorithms; Face recognition; Feature extraction; Humans; Intelligent networks; Intelligent systems; Light sources; Lighting; Shape; Surface texture; System testing; face modeling; face recognition; illumination; invariant feature extraction; preprocessing and normalization;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.85
