An adaptive subdivision method for surface-fitting from sampled data

A method is developed for surface-fitting from sampled data. Surface-fitting is the process of constructing a compact representation to model the surface of an object based on a fairly large number of given data points. In our case, the data is obtained from a real object using an automatic three-di...

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Bibliographic Details
Published in:	Computer graphics (New York, N.Y.) N.Y.), 1986-08, Vol.20 (4), p.179-188
Main Authors:	Schmitt, Francis J M, Barsky, Brian A., Du, Wen-hui
Format:	Article
Language:	English
Subjects:	Architectures Classification and regression trees Computer graphics Computer systems organization Computing methodologies Concurrency Feature selection Graphics systems and interfaces Image manipulation Learning paradigms Machine learning Machine learning algorithms Machine learning approaches Models of computation Neural networks Other architectures Parallel computing models Parametric curve and surface models Rendering Shape modeling Software and its engineering Software creation and management Supervised learning Supervised learning by classification Theory of computation Volumetric models
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