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