| dc.contributor | 資科系 | - |
| dc.creator (作者) | Liao, Wen-hung;Aggarwal, Jake K. | - |
| dc.creator (作者) | 廖文宏 | - |
| dc.date (日期) | 1996 | - |
| dc.date.accessioned | 17-Jun-2015 16:38:21 (UTC+8) | - |
| dc.date.available | 17-Jun-2015 16:38:21 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Jun-2015 16:38:21 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75910 | - |
| dc.description.abstract (摘要) | 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 (關聯) | International Conference on Pattern Recognition - ICPR , vol. 4, pp. 8-13 vol.4 | - |
| dc.title (題名) | Curve and surface interpolation using rational radial basis functions | - |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/ICPR.1996.547224 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/ICPR.1996.547224 | - |
