Title
Height Recovery From Intensity Gradient
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.
Publication Date
1-1-1994
Publication Title
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Number of Pages
508-513
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0028055312 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0028055312
STARS Citation
Zhang, Ruo and Shah, Mubarak, "Height Recovery From Intensity Gradient" (1994). Scopus Export 1990s. 426.
https://stars.library.ucf.edu/scopus1990/426