3D Parametric Wireframe Extraction Based on Distance Fields

• URL: http://arxiv.org/abs/2107.06165v1
• Date: Tue, 13 Jul 2021 15:25:14 GMT
• Title: 3D Parametric Wireframe Extraction Based on Distance Fields
• Authors: Albert Matveev, Alexey Artemov, Denis Zorin and Evgeny Burnaev
• Abstract summary: We present a pipeline for parametric wireframe extraction from point clouds. Our approach processes a scalar distance field that represents proximity to the nearest sharp feature curve. In intermediate stages, it detects corners, constructs curve segmentation, and builds a topological graph fitted to the wireframe.
• Score: 33.17232234301046
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present a pipeline for parametric wireframe extraction from densely sampled point clouds. Our approach processes a scalar distance field that represents proximity to the nearest sharp feature curve. In intermediate stages, it detects corners, constructs curve segmentation, and builds a topological graph fitted to the wireframe. As an output, we produce parametric spline curves that can be edited and sampled arbitrarily. We evaluate our method on 50 complex 3D shapes and compare it to the novel deep learning-based technique, demonstrating superior quality.

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