DocumentCode
2238916
Title
The support function, curvature functions and 3-D attitude determination
Author
Li, Ying ; Woodham, Robert J.
Author_Institution
Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
fYear
1993
fDate
15-17 Jun 1993
Firstpage
676
Lastpage
677
Abstract
Attitude is the 3-D rotation between the coordinate system of a known object and that of a sensed portion of its surface. Combinations of the support function of a known object with curvature measurements from a visible surface transform attitude determination into optimization problems that can be solved using standard numerical methods. Previous work using the extended Gaussian image (EGI) defined for convex polyhedra is extended to the domain of smooth, strictly convex objects where the EGI becomes equivalent to the second curvature function. Three-dimensional shape matching using the first curvature function is new. Emphasis is placed on theoretical foundations, algorithm development, and experimental proof-of-concept using real objects and surface data obtained from an existing photometric stereo system
Keywords
curvature measurement; image matching; optimisation; stereo image processing; 3-D attitude determination; 3D shape matching; convex polyhedra; curvature functions; curvature measurements; extended Gaussian image; optimization; photometric stereo system; support function; Computer science; Coordinate measuring machines; Ellipsoids; Measurement standards; Optimization methods; Photometry; Position measurement; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location
New York, NY
ISSN
1063-6919
Print_ISBN
0-8186-3880-X
Type
conf
DOI
10.1109/CVPR.1993.341032
Filename
341032
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