Title

Shape from shading: A survey

Authors

Authors

R. Zhang; P. S. Tsai; J. E. Cryer;M. Shah

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Pattern Anal. Mach. Intell.

Keywords

shape from shading; analysis of algorithms; Lambertian model; survey of; shape from shading algorithms; SURFACE; Computer Science, Artificial Intelligence; Engineering, Electrical &; Electronic

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. The implementation of these algorithms in C and images used in this paper are available by anonymous ftp under the pub/tech_paper/survey directory at eustis.cs.ucf.edu (132.170.108.42). These are also part of the electronic Version of paper.

Journal Title

Ieee Transactions on Pattern Analysis and Machine Intelligence

Volume

21

Issue/Number

8

Publication Date

1-1-1999

Document Type

Article

Language

English

First Page

690

Last Page

706

WOS Identifier

WOS:000081993000002

ISSN

0162-8828

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