ParaView/PCL Plugin

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介绍PCL插件如何将PointCloudProcessingLibrary(PCL)的算法整合进ParaView，提供快速原型设计和与NumPy、SciPy的集成能力。支持多种核心算法，如欧几里得聚类、鲁棒平面/圆柱拟合、表面法线估计等，并提供下载、构建说明及演示。提及将在今年的CVPR大会上展示并进行演示。

What is the PCL Plugin ?

The PCL plugin for ParaView allows users to access filters from the Point Cloud Processing Library (PCL) within ParaView. The plugin wraps PCL algorithms as VTK filters. The plugin also provides Python bindings for the filters using VTK's python wrapping, thus enabling fast prototyping and integration with NumPy and SciPy. With point cloud data loaded in ParaView, users can interactively apply PCL algorithms, color the point clouds by different attributes, and quickly compose complex processing pipelines to explore the point cloud data.

Currently supported PCL algorithms

At the current stage of development, the plugin provides several of PCL's core algorithms for point cloud processing, including:

Euclidean cluster extraction
Robust plane/cylinder fitting (using RANSAC)
Surface normal estimation
VoxelGrid filter for downsampling
Radius-based 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 PCP workshop website for more information.

References

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

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