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 :
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