Title :
Estimating Cast Shadows using SFS and Class-based Surface Completion
Author :
Smith, William A P ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., York Univ.
Abstract :
This paper describes a method for cast shadow removal from obliquely illuminated images of faces. The method draws on a statistical model of surface normal directions. The model is fitted to shadowed facial images using robust statistics and constraints provided by shape-from-shading. Regions associated with poor fit residuals are associated with shadow regions. We illustrate the method on the Yale B database where it gives both good shadow map estimates and fills-in the facial surface in the shadow regions
Keywords :
face recognition; statistical analysis; cast shadow estimation; cast shadow removal; class-based surface completion; facial surface; illuminated face image; poor fit residual; shadow region; shadowed facial image; shape-from-shading; statistical model; surface normal direction; Computer science; Failure analysis; Geometry; Image databases; Light sources; Lighting; Robustness; Shape; Statistics; Surface fitting;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.498
