DocumentCode
2079820
Title
Height recovery from intensity gradient
Author
Zhang, Ruo ; Shah, Mubarak
Author_Institution
Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear
1994
fDate
21-23 Jun 1994
Firstpage
508
Lastpage
513
Abstract
Unlike existing global shape-from-shading algorithms which involve the brightness constraint in their formulation, we propose a new algorithm which replaces the brightness constraint by an intensity gradient constraint. This is a global approach which obtains the solution by the minimization of an error function over the entire image. Through the linearization of the reflectance map and the discretization of the surface gradient, the intensity gradient can be expressed as a linear function of the surface height. A quadratic error function, which involves the intensity gradient constraint and the traditional smoothness constraint, is minimized efficiently by solving a sparse linear system using the multigrid technique. Neither the information at singular points nor the information at occluding boundaries is needed for the initialization
Keywords
computer vision; differential equations; image reconstruction; minimisation; error function; height recovery; intensity gradient; intensity gradient constraint; multigrid technique; reflectance map; sparse linear system; surface gradient; Differential equations; Image reconstruction; Machine vision; Minimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location
Seattle, WA
ISSN
1063-6919
Print_ISBN
0-8186-5825-8
Type
conf
DOI
10.1109/CVPR.1994.323874
Filename
323874
Link To Document