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• W2884651683 abstract "In this paper we present a method using deep learning to compute parametrizations for B-spline curve approximation. Existing methods consider the computation of parametric values and a knot vector as separate problems. We propose to train interdependent deep neural networks to predict parametric values and knots. We show that it is possible to include B-spline curve approximation directly into the neural network architecture. The resulting parametrizations yield tight approximations and are able to outperform state-of-the-art methods." @default.
• W2884651683 created "2018-08-03" @default.
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• W2884651683 date "2018-09-01" @default.
• W2884651683 modified "2023-10-18" @default.
• W2884651683 title "Deep Learning Parametrization for B-Spline Curve Approximation" @default.
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• W2884651683 doi "https://doi.org/10.1109/3dv.2018.00084" @default.
• W2884651683 hasPublicationYear "2018" @default.
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