DocumentCode
1545836
Title
Shape-from-shading: a survey
Author
Zhang, Ruo ; Tsai, Ping-Sing ; Cryer, James Edwin ; Shah, Mubarak
Author_Institution
Sch. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
Volume
21
Issue
8
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
690
Lastpage
706
Abstract
Since the first shape-from-shading (SFS) technique was developed by Horn in the early 1970s, many different approaches have emerged. In this paper, six well-known SFS algorithms are implemented and compared. The performance of the algorithms was analyzed on synthetic images using mean and standard deviation of depth (Z) error, mean of surface gradient (p, q) error, and CPU timing. Each algorithm works well for certain images, but performs poorly for others. In general, minimization approaches are more robust, while the other approaches are faster
Keywords
computer vision; convergence; error analysis; minimisation; reflectivity; statistical analysis; depth error; mean; minimization approaches; shape-from-shading; standard deviation; surface gradient; synthetic images; Algorithm design and analysis; Computer vision; Humans; Light sources; Nonlinear equations; Performance analysis; Pixel; Robustness; Shape; Timing;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.784284
Filename
784284
Link To Document