DocumentCode :
2524507
Title :
Shape and albedo from multiple images using integrability
Author :
Yuille, Alan ; Snow, Daniel
Author_Institution :
Smith-Kettlewell Eye Res. Inst., San Francisco, CA, USA
fYear :
1997
fDate :
17-19 Jun 1997
Firstpage :
158
Lastpage :
164
Abstract :
Previous work has developed an approach for estimating shape and albedo from multiple images assuming Lambertian reflectance with single light sources. The main contributions of this paper are: (i) to show how the approach can be generalized to include ambient background illumination, (ii) to demonstrate the use of the integrability constraint for solving this problem, and (iii) an iterative algorithm which is able to improve the analysis by finding shadows and rejecting them
Keywords :
albedo; computer vision; iterative methods; singular value decomposition; Lambertian reflectance; albedo; ambient background illumination; integrability constraint; iterative algorithm; multiple images; shadows; shape; single light sources; Algorithm design and analysis; Equations; Layout; Light sources; Lighting; Photometry; Reflectivity; Shape; Singular value decomposition; Snow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
ISSN :
1063-6919
Print_ISBN :
0-8186-7822-4
Type :
conf
DOI :
10.1109/CVPR.1997.609314
Filename :
609314
Link To Document :
بازگشت