ParaView/PCL Plugin: Difference between revisions
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[[Image:PCLPlugin_cloudlogo.jpg| | [[Image:PCLPlugin_cloudlogo.jpg|500px]] | ||
=== What is the PCL Plugin ? === | === What is the PCL Plugin ? === | ||
The plugin facilitates to use point cloud processing algorithms, as implemented in Willow Garage's [http://pointclouds.org/ 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. | The PCL plugin for ParaView facilitates to use point cloud processing algorithms, as implemented in Willow Garage's [http://pointclouds.org/ 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 | === Currently supported PCL algorithms === | ||
At the current stage of development | 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 | * Euclidean cluster extraction | ||
* | * Robust plane/cylinder fitting (using RANSAC) | ||
* VoxelGrid filter for downsampling | |||
* VoxelGrid filter | * Concave hull computation | ||
* Concave | |||
* Euclidean outlier removal | * Euclidean outlier removal | ||
Revision as of 14:56, 28 May 2012
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 algorithmsAt the current stage of development, the plugin implements several of PCL's core algorithms for point cloud processing, among which are the following:
News
ReferencesIf you are using the plugin for your research project, please cite the following paper:
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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