Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/75910
DC Field | Value | Language |
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dc.contributor | 資科系 | - |
dc.creator | Liao, Wen-hung;Aggarwal, Jake K. | - |
dc.creator | 廖文宏 | - |
dc.date | 1996 | - |
dc.date.accessioned | 2015-06-17T08:38:21Z | - |
dc.date.available | 2015-06-17T08:38:21Z | - |
dc.date.issued | 2015-06-17T08:38:21Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/75910 | - |
dc.description.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 | - |
dc.format.extent | 129 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation | International Conference on Pattern Recognition - ICPR , vol. 4, pp. 8-13 vol.4 | - |
dc.title | Curve and surface interpolation using rational radial basis functions | - |
dc.type | conference | en |
dc.identifier.doi | 10.1109/ICPR.1996.547224 | - |
dc.doi.uri | http://dx.doi.org/10.1109/ICPR.1996.547224 | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
item.openairetype | conference | - |
Appears in Collections: | 會議論文 |
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