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Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods

arXiv 1808.00495 ↗First posted 1 Aug 2018cs.CVcited by 21

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Abstract (arXiv)

This paper introduces a new definition of multiscale neighborhoods in 3D point clouds. This definition, based on spherical neighborhoods and proportional subsampling, allows the computation of features with a consistent geometrical meaning, which is not the case when using k-nearest neighbors. With an appropriate learning strategy, the proposed features can be used in a random forest to classify 3D points. In this semantic classification task, we show that our multiscale features outperform state-of-the-art features using the same experimental conditions. Furthermore, their classification power competes with more elaborate classification approaches including Deep Learning methods.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 4; 2023: 6; 2024: 0; 2025: 2; 2026: 2.

21 papers.

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  1. 2023LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusioncited by 80
  2. 2022Multi-modal Sensor Fusion for Auto Driving Perception: A Surveycited by 73
  3. 2022Point Density-Aware Voxels for LiDAR 3D Object Detectioncited by 70
  4. 2021SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Cloudscited by 64
  5. 2021Learning Semantic Segmentation of Large-Scale Point Clouds with Random Samplingcited by 51
  6. 2021No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Modelscited by 49
  7. 2021Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoningcited by 22
  8. 2023DReg-NeRF: Deep Registration for Neural Radiance Fieldscited by 21
  9. 2022AGConv: Adaptive Graph Convolution on 3D Point Cloudscited by 13
  10. 2023Decoupled Local Aggregation for Point Cloud Learningcited by 12
  11. 2021Continuous Conditional Random Field Convolution for Point Cloud Segmentationcited by 7
  12. 2022PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshescited by 5
9 more
  1. 2023Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentationcited by 5
  2. 2025Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributescited by 4
  3. 2025Voxel-based Point Cloud Geometry Compression with Space-to-Channel Contextcited by 4
  4. 2021The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutionscited by 2
  5. 2023Using t-distributed stochastic neighbor embedding for visualization and segmentation of 3D point clouds of plantscited by 1
  6. 2021Potential Convolution: Embedding Point Clouds into Potential Fieldscited by 0
  7. 2023GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian Manifoldscited by 0
  8. 2026LitS: A novel Neighborhood Descriptor for Point Cloudscited by 0
  9. 2026From Spherical to Gaussian: A Comparative Analysis of Point Cloud Cropping Strategies in Large-Scale 3D Environmentscited by 0