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
fDate :
8/1/1999 12:00:00 AM
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;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
