DocumentCode
2607666
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.
Volume
4
fYear
0
fDate
0-0 0
Firstpage
86
Lastpage
90
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.498
Filename
1699789
Link To Document