ParaView/PCL Plugin: Difference between revisions

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Revision as of 14:59, 28 May 2012

PCLPlugin cloudlogo.jpg

What is the PCL Plugin ?

The PCL plugin for ParaView facilitates to use point cloud processing algorithms, as implemented in Willow Garage's Point Cloud Processing Library (PCL), to be used within ParaView. Since the plugin wraps PCL algorithms as VTK filters, they are available within Python, thus enabling fast prototyping and easy visualization of novel point cloud processing approaches. Once point cloud data is loaded in ParaView, users can interactively call PCL algorithms, color the point clouds by different attributes, or easily compose a processing pipelines to explore point cloud data.

Currently supported PCL algorithms

At the current stage of development, the plugin implements several of PCL's core algorithms for point cloud processing, among which are the following:

  • Euclidean cluster extraction
  • Robust plane/cylinder fitting (using RANSAC)
  • VoxelGrid filter for downsampling
  • Concave hull computation
  • Euclidean outlier removal

News

  • We will present the PCL plugin and give a demo at this year's CVPR in Providence, RI (Sunday, June 16, 4.55pm - 6.30pm). Browse the workshop website for more information.

References

If you are using the plugin for your project, please cite the following paper:

  • P. Marion, R. Kwitt and B. Davis, PCL and ParaView - Connecting the Dots, Proceedings of the IEEE International Workshop on Point Cloud Processing (PCP '12), 2012 (held in conjunction with CVPR '12)

Here's the corresponding Bibtex entry:

@inproceedings{Marion12a,
  author    = {P.~Marion and R.~Kwitt and B.~Davis},
  title     = {PCL and ParaView - Connecting the Dots},
  booktitle = {CVPR Workshop on Point Cloud Processing (PCP)},
  year      = 2012}
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