DocumentCode :
2469267
Title :
A new method for computing intrinsic surface properties
Author :
Wang, Y.F. ; Liang, P.
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
fYear :
1989
fDate :
4-8 Jun 1989
Firstpage :
235
Lastpage :
240
Abstract :
A novel technique for computing intrinsic surface properties is developed. Intrinsic surface properties refer to those properties of a surface which are not affected by the choice of the coordinate system, the position of the viewer relative to the surface, and the particular parametric representation used to describe the imaged surface. Since intrinsic properties are characteristics of a surface, they are ideal for the purpose of representation and recognition. The intrinsic properties of interest are the principal curvatures, the intrinsic distance, and the lines of curvature. The authors adopt a structured lighting sensing configuration where a grid pattern is projected to encode the object surfaces for analysis. At each stripe junction, the curvature of the projected stripe on the object surface is computed and related to that of the normal section which shares the same tangential direction as the projected curve. The principal curvatures and their directions at the stripe junction under consideration are then recovered using Euler´s theorem
Keywords :
pattern recognition; picture processing; Euler´s theorem; grid pattern; intrinsic distance; intrinsic surface properties; lines of curvature; pattern recognition; picture processing; principal curvatures; stripe junction; structured lighting sensing; Cameras; Character recognition; Computer hacking; Computer science; Concurrent computing; Geometry; Layout; Mechanical factors; Pattern analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location :
San Diego, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-1952-x
Type :
conf
DOI :
10.1109/CVPR.1989.37855
Filename :
37855
Link To Document :
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