TY - CHAP U1 - Konferenzveröffentlichung A1 - Laube, Pascal A1 - Franz, Matthias O. A1 - Umlauf, Georg T1 - Deep Learning Parametrization for B-Spline Curve Approximation T2 - International Conference on 3D Vision (3DV), 5-8 Sept. 2018, Verona, Italy N2 - 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. Y1 - 2018 SN - 2475-7888 SS - 2475-7888 U6 - https://doi.org/10.1109/3DV.2018.00084 DO - https://doi.org/10.1109/3DV.2018.00084 N1 - Volltextzugriff im Campusnetz der Hochschule Konstanz möglich (Datenbank IEEE Xplore) SP - 691 EP - 699 PB - IEEE ER -