Surface Reconstruction from 3D Line Segments
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Abstract (arXiv)
In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We present a novel method for watertight piecewise-planar surface reconstruction from 3D line segments with visibility information. First, planes are extracted by a novel RANSAC approach for line segments that allows multiple shape support. Then, each 3D cell of a plane arrangement is labeled full or empty based on line attachment to planes, visibility and regularization. Experiments show the robustness to sparse input data, noise and outliers.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Nov 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 2; 2025: 1; 2026: 1.
6 papers.
- 2021PlaneTR: Structure-Guided Transformers for 3D Plane Recoverycited by 33
- 2024PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutescited by 13
- 2022Learning to Construct 3D Building Wireframes from 3D Line Cloudscited by 9
- 2025Improving Transformer Based Line Segment Detection with Matched Predicting and Re-rankingcited by 1
- 2024Structure-preserving Planar Simplification for Indoor Environmentscited by 0
- 2026Hierarchical Space Partition for Surface Reconstructioncited by 0
- 2026Hierarchical Space Partition for Surface Reconstruction3 Jun 2026
- 2025Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking25 Feb 2025
- 2024PlanarSplatting: Accurate Planar Surface Reconstruction in 3 Minutes4 Dec 2024
- 2024Structure-preserving Planar Simplification for Indoor Environments13 Aug 2024
- 2022Learning to Construct 3D Building Wireframes from 3D Line Clouds25 Aug 2022
- 2021PlaneTR: Structure-Guided Transformers for 3D Plane Recovery27 Jul 2021