DocumentCode :
3038776
Title :
Illumination invariant object recognition
Author :
Bichsel, Martin
Author_Institution :
Dept. of Comput. Sci., Zurich Univ., Switzerland
Volume :
3
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
620
Abstract :
Varying illumination is severe problem for existing face recognition algorithms. Altering the light direction from left to right, for example, causes a change of contrast in large face regions and causes most face recognition algorithms to fail. Theoretical results, based on the law of incoherent light superposition, provide the solid ground on which a new illumination invariant recognition algorithm is derived. A face recognition experiment demonstrates that this algorithm indeed shows improved recognition performance even if the conditions, for which the theoretical results were derived, do not hold exactly
Keywords :
face recognition; image recognition; light sources; lighting; object recognition; contrast; face recognition algorithms; face recognition experiment; face regions; illumination invariant object recognition; illumination invariant recognition algorithm; incoherent light superposition; light direction; recognition performance; Computer science; Face recognition; Laboratories; Layout; Light sources; Lighting; Object recognition; Pixel; Solids; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.537711
Filename :
537711
Link To Document :
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