mlsanityData to 14 Oct 2026

BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics

arXiv 2210.13305 ↗First posted 24 Oct 2022cs.CV cs.GRcited by 3

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Abstract (arXiv)

Extracting high-level structural information from 3D point clouds is challenging but essential for tasks like urban planning or autonomous driving requiring an advanced understanding of the scene at hand. Existing approaches are still not able to produce high-quality results consistently while being fast enough to be deployed in scenarios requiring interactivity. We propose to utilize a novel set of features describing the local neighborhood on a per-point basis via first and second order statistics as input for a simple and compact classification network to distinguish between non-edge, sharp-edge, and boundary points in the given data. Leveraging this feature embedding enables our algorithm to outperform the state-of-the-art techniques in terms of quality and processing time.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 24 of its 84 references that are in the map. First posted on arXiv 24 Oct 2022.

Builds on

24 of 84 references.

References · 24

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12 more
  1. 2017PCPNET: Learning Local Shape Properties from Raw Point Cloudscited by 98
  2. 2018EC-Net: an Edge-aware Point set Consolidation Networkcited by 84
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  5. 2020JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Cloudscited by 62
  6. 2019Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentationcited by 29
  7. 2022Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classificationcited by 16
  8. 2020PCEDNet : A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Cloudscited by 15
  9. 2018Edge and Corner Detection for Unorganized 3D Point Clouds with Application to Robotic Weldingcited by 14
  10. 2019Fast 3D Line Segment Detection From Unorganized Point Cloudcited by 10
  11. 2020Learning Part Boundaries from 3D Point Cloudscited by 9
  12. 2020DEF: Deep Estimation of Sharp Geometric Features in 3D Shapescited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.

  1. 2025STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Cloudscited by 0
  2. 2026EdgeFormer: local patch-based edge detection transformer on point cloudscited by 0
  3. 2026One Shot Learning for Edge Detection on Point Cloudscited by 0