DocumentCode
2991896
Title
Improving visible-surface reconstruction
Author
Jou, Jinn-Yeu ; Bovik, Alan C.
Author_Institution
Lab. for Vison Syst., Texas Univ., Austin, TX, USA
fYear
1988
fDate
5-9 Jun 1988
Firstpage
138
Lastpage
143
Abstract
Techniques are described for improving the speed and accuracy of iterative visible-surface reconstruction algorithms. In particular, the importance of obtaining accurate early information is emphasized, both in the initial surface approximation and in the early localization of surface discontinuities. The first of these goals is attained using a simple technique known as constraint expansion, which yields a good initial approximation while accounting for detected discontinuities. The second goal is attained by using the locations of the image intensity edges as a guide in locating potential discontinuities
Keywords
approximation theory; computerised picture processing; iterative methods; computerised picture processing; constraint expansion; image intensity edges; iterative methods; surface approximation; surface discontinuities; visible-surface reconstruction; Convergence; Image edge detection; Image reconstruction; Laboratories; Machine vision; Motion estimation; Reconstruction algorithms; Shape; Surface reconstruction; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location
Ann Arbor, MI
ISSN
1063-6919
Print_ISBN
0-8186-0862-5
Type
conf
DOI
10.1109/CVPR.1988.196227
Filename
196227
Link To Document