Segmentation of Large Point-Clouds Using Recursive Local PCA

نویسندگان

  • E. Funk
  • D. Grießbach
  • D. Baumbach
  • I. Ernst
  • A. Boerner
  • S. Zuev
چکیده

We present a segmentation method for 3D point clouds, resulting from a stereo camera. Given an unsorted list of points the algorithm splits the data recursively until some quality level is achieved. In the second and the last step we use a mincut method in order to summarize similar plane-clusters from a global point of view. The method does not require any prior knowledge about the scene and was tested in complex indoor environments.

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تاریخ انتشار 2011