Software tools using CSRBFs for processing scattered data
نویسندگان
چکیده
A set of software tools that use compactly supported radial basis functions (CSRBFs) to process scattered data is proposed in this paper. To solve problems concerning the processing of scattered data in such applications as reconstruction of functionaly defined geometric objects, surface retouching, and shape modifications, we employ a specially designed C++ software library. Thanks to the efficient octree algorithm used in this study, the resulting matrix is a band-diagonal matrix that permits handling of large data sets in a reasonable time. The method, classes of the software library, time performance of the algorithm, and various examples of the use of the software tools are discussed.
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عنوان ژورنال:
- Computers & Graphics
دوره 27 شماره
صفحات -
تاریخ انتشار 2003