ParaView/PCL Plugin: Difference between revisions
No edit summary |
|||
Line 3: | Line 3: | ||
|style="vertical-align: top; border-right: 2em solid white; "| | |style="vertical-align: top; border-right: 2em solid white; "| | ||
[[Image:PCLPlugin_cloudlogo.jpg| | [[Image:PCLPlugin_cloudlogo.jpg|400px]] | ||
=== What is the PCL Plugin ? === | === What is the PCL Plugin ? === | ||
Line 33: | Line 33: | ||
@inproceedings{Marion12a, | @inproceedings{Marion12a, | ||
author = {P.~Marion and R.~Kwitt and B.~Davis}, | author = {P.~Marion and R.~Kwitt and B.~Davis}, | ||
title = {PCL and ParaView - Connecting the Dots}, | title = {PCL and ParaView - Connecting the Dots}, | ||
booktitle = {CVPR Workshop on Point Cloud Processing (PCP)}, | booktitle = {CVPR Workshop on Point Cloud Processing (PCP)}, | ||
year = 2012} | year = 2012} | ||
|style="vertical-align: top; padding: 0.5em; width: 300px; "| | |style="vertical-align: top; padding: 0.5em; width: 300px; "| |
Revision as of 14:40, 28 May 2012
What is the PCL Plugin ?The plugin 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 functionalityAt the current stage of development (tested against PCL 1.5), the plugin implements several of PCL's core algorithms for point cloud processing, listed below:
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} |
|