DocumentCode :
2144468
Title :
Determining illumination sources in frontal face images using salient samples from a face depth map
Author :
Seke, Erol
Author_Institution :
Eskisehir Osmangazi Univ., Eskisehir, Turkey
fYear :
2011
fDate :
15-18 June 2011
Firstpage :
173
Lastpage :
176
Abstract :
An efficient method is presented for determining multiple light sources illuminating faces using a general face depth map for comparable image generation. A 3D face depth map is artificially illuminated by known sources from several known directions and a set of samples from each resulting image is collected. These and corresponding samples from probed face image are used to find the light source vectors that generates an artificial face image whose samples are illuminated optimally similar to the probed face. Since the artificial data are pre-calculated and stored, illumination calculation is quite fast for a given frontal face image.
Keywords :
face recognition; lighting; face depth map; frontal face images; illumination source determination; image generation; light source vectors; probed face image; salient samples; Databases; Face; Face recognition; Image reconstruction; Light sources; Lighting; Three dimensional displays; face reconstruction; illumination sources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
Conference_Location :
Istanbul
Print_ISBN :
978-1-61284-919-5
Type :
conf
DOI :
10.1109/INISTA.2011.5946129
Filename :
5946129
Link To Document :
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