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3D Point Cloud Processing

Video course

22 videos that follow the book, published here as they are recorded.

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Foundations and Acquisition

  1. 01 What is a point cloud?Chapter 1, in production · Free on release
  2. 02 Reading point attributes in a LAS fileChapter 1, in production
  3. 03 The LiDAR equation, plain and appliedChapter 2, in production · Free on release
  4. 04 Scanning mechanisms comparedChapter 2, in production
  5. 05 TLS vs ALS vs mobile mapping: choosing for the jobChapter 3, in production · Free on release
  6. 06 A UAV LiDAR project, end to endChapter 3, in production
  7. 07 Inside the LAS and LAZ formatChapter 4, in production
  8. 08 k-d tree vs octree, when each winsChapter 4, in production

Preprocessing

  1. 09 Voxel-grid downsampling in practiceChapter 5, in production
  2. 10 Statistical outlier removal, demonstratedChapter 6, in production
  3. 11 Normal estimation by PCAChapter 7, in production
  4. 12 ICP registration, step by stepChapter 8, in production · Free on release
  5. 13 FPFH features for coarse alignmentChapter 8, in production

Analysis

  1. 14 Cloth simulation filter for ground extractionChapter 9, in production
  2. 15 RANSAC plane segmentation in practiceChapter 11, in production
  3. 16 DBSCAN clustering on real dataChapter 11, in production
  4. 17 Random forest classification, end to endChapter 12, in production

Reconstruction and Semantic Modelling

  1. 18 M3C2 change detection, demonstratedChapter 14, in production
  2. 19 Poisson surface reconstruction tuningChapter 15, in production

Applications and Frontiers

  1. 20 Powerline corridor: a full pipelineChapter 18, in production · Free on release
  2. 21 PointNet++, from paper to codeChapter 19, in production
  3. 22 3D Gaussian Splatting, why it mattersChapter 20, in production