Eliorkalfon / Point-clouds-analysis

Algorithmic methods for finding anomalies in point clouds

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Point-clouds-analysis

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Algorithmic methods for finding anomalies in point clouds. This project provides two alternatives:

  1. Supervised - Disimilarities metrics between two point clouds
  2. Unsupervised - Anomalies detection in only one given point cloud

Used libs:

  1. open3d
  2. point_cloud_utils
  3. laspy
  4. KPCONV neural network

Datasets:

  1. Modelnet40 3d point clouds
  2. SemanticKitti 3d

For more info please contact:

  1. Carmishimon1@gmail.com https://github.com/CarmiShimon
  2. Eliorkalfon@gmail.com https://github.com/Eliorkalfon

All rights reserved to Carmi Shimon and Elior Kalfon.

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Algorithmic methods for finding anomalies in point clouds


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