Referenced Items are not available for this document.
This paper addresses the problem of reconstructing two-dimensional curves and three-dimensional surfaces from scattered, sparse measurements. We extend the rational Gaussian (RaG) functions introduced by Goshtasby (1993) to general rational radial basis functions and develop a method to compute the smoothness parameters for the shape model by considering the adjacency relation of the control points. Experimental results demonstrate substantial improvements over the original RaG-based method when the input data is sparse and the distribution of the control points is highly nonuniform
Published in:
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
(Volume:4
)
Date of Conference: 25-29 Aug 1996
- Page(s):
- 8 - 13 vol.4
- Meeting Date :
- 25 Aug 1996-29 Aug 1996
- ISSN :
- 1051-4651
- Print ISBN:
- 0-8186-7282-X
- INSPEC Accession Number:
- 5456584
- Conference Location :
- Vienna
- Digital Object Identifier :
- 10.1109/ICPR.1996.547224
- Product Type:
- Conference Publications
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