DocumentCode
3195239
Title
Inferring shape from contour for curved surfaces
Author
Ulupinar, Fatih ; Nevatia, Ramakant
Author_Institution
Inst. for Robotics & Intelligent Systs., Univ. of Southern Calfornia, Los Angeles, CA, USA
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
147
Abstract
A technique based on analysis of symmetries in an image is proposed for inferring the 3-D shapes of surfaces of objects in it. This technique is analyzed and applied to zero-Gaussian-curvature surfaces. The method consists of deriving a number of constraints based on a few simple assumptions. The combination of constraints to give unique (or few) solutions is discussed. Experimental results on selected scenes are given and are shown to conform well with human perception
Keywords
pattern recognition; picture processing; 3D shape inferring; curved surfaces; pattern recognition; picture processing; zero-Gaussian-curvature surfaces; Computer vision; Contracts; Equations; Humans; Image analysis; Intelligent robots; Intelligent systems; Layout; Mirrors; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118080
Filename
118080
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