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neighborhood

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Various camera models (Full, Weak and Orthographic) are used to convert 3D real world points into 2D image pixel coordinates by simulating a 'virtual camera'

  • Updated Sep 30, 2017
  • MATLAB

We proposes a novel and robust 3D object segmentation method, the Gaussian Density Model (GDM) algorithm. The algorithm works with point clouds scanned in the urban environment using the density metrics, based on existing quantity of features in the neighborhood. The LiDAR Velodyne 64E was used to scan urban environment.

  • Updated Oct 8, 2019
  • Python

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