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
Link To Document :
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