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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2015999919> ?p ?o ?g. }

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• W2015999919 abstract "We propose a novel curvature-aware simplification technique for point-sampled geometry based on the locally optimal projection (LOP) operator. Our algorithm includes two new developments. First, a weight term related to surface variation at each point is introduced to the classic LOP operator. It produces output points with a spatially adaptive distribution. Second, for speeding up the convergence of our method, an initialization process is proposed based on geometry-aware stochastic sampling. Owing to the initialization, the relaxation process achieves a faster convergence rate than those initialized by uniform sampling. Our simplification method possesses a number of distinguishing features. In particular, it provides resilience to noise and outliers, and an intuitively controllable distribution of simplification. Finally, we show the results of our approach with publicly available point cloud data, and compare the results with those obtained using previous methods. Our method outperforms these methods on raw scanned data." @default.
• W2015999919 created "2016-06-24" @default.
• W2015999919 creator A5053622281 @default.
• W2015999919 creator A5063865607 @default.
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• W2015999919 creator A5091328739 @default.
• W2015999919 date "2011-03-01" @default.
• W2015999919 modified "2023-09-26" @default.
• W2015999919 title "Curvature-aware simplification for point-sampled geometry" @default.
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• W2015999919 doi "https://doi.org/10.1631/jzus.c1000068" @default.
• W2015999919 hasPublicationYear "2011" @default.
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