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    Title: Curve and surface interpolation using rational radial basis functions
    Authors: Liao, Wen-hung;Aggarwal, Jake K.
    廖文宏
    Contributors: 資科系
    Date: 1996
    Issue Date: 2015-06-17 16:38:21 (UTC+8)
    Abstract: 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
    Relation: International Conference on Pattern Recognition - ICPR , vol. 4, pp. 8-13 vol.4
    Data Type: conference
    DOI link: http://dx.doi.org/10.1109/ICPR.1996.547224
    DOI: 10.1109/ICPR.1996.547224
    Appears in Collections:[Department of Computer Science ] Proceedings

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