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- W45398558 abstract "Abstract Sketching provides an intuitive design interface for modeling, but results in very large, inaccurate data sets. The goal of data reduction methods is to create a B-spline curve representation which compactly and faithfully represents the sketched data. In [1,2] a data reduction algorithm was presented whose goal was to obtain approximating curves with reasonable accuracy in real-time by reducing the data incrementally in moving windows. The approach was derived from the approach for general spline data reduction presented in [6,7,8]. In this paper we explore the effects of the window size and the error in pixels as well as pipelining and multiple phases on the compactness and quality of the resulting reduced curve. As multi-processor workstations become available, this approach becomes more practical to adopt." @default.
- W45398558 created "2016-06-24" @default.
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- W45398558 date "1991-01-01" @default.
- W45398558 modified "2023-09-22" @default.
- W45398558 title "Realtime Pipelined Spline Data Fitting for Sketched Curves" @default.
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- W45398558 doi "https://doi.org/10.1016/b978-0-12-438660-0.50019-4" @default.
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