Point Cloud Library (Point Cloud Library, PCL)
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D / 3D image and point cloud processing.
Point Cloud Library (PCL) is a large open separate project for 2D / 3D image and point cloud processing .
The PCL IS Released an under The Terms of The the BSD License, and THUS Free for Commercial and Research use. We are in financially Supported by A Consortium of Commercial companies, with Our own non-Profit Organization, the Open Perception. We Would Also like to Thank Individual Donors Contributors that have have been Helping and at the Project.
PCL is based on BSD licensing terms issued, and therefore free for commercial and research purposes. Financial support by the consortium of commercial companies and our own non-profit organization Open Perception. We also thank been helping individual donors and contributors to the project.
perception [pəˈsepʃn]：n. 认识能力，知觉，感觉，洞察力，看法，获取
The PCL framework contains numerous state-of -the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation. These algorithms can be used, for example, to filter outliers from noisy data, stitch 3D point clouds together, segment Relevant Parts of A SCENE, Extract keypoints and Compute descriptors to Recognize Objects in The World based ON Their Geometric Appearance, and Create Surfaces from Point Clouds and Visualize Them -. to name A FEW
the PCL frame comprising a number of recent algorithms including filtering, wherein estimated surface reconstruction, registration, model fitting and segmentation. These algorithms can be used, for example, filtration from noisy data an abnormal value, the 3D point cloud sewn together, dividing the relevant part of the scene, and to extract key point is calculated according to the geometric descriptor to identify the object the appearance of the object in the world, and a point cloud from the surface and create a visualization of it - to name a few.
PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing oN platforms with reduced Computational PCL or size the Constraints.
PCL is a cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows and Android. To simplify development, the PCL is divided into a series of smaller code base can be compiled separately. This modularity is essential for the deployment of PCL in the calculation or reduce the size constraints of the platform.
Another way to think about PCL is as a graph of code libraries, similar to the Boost set of C ++ libraries.
Consider another method is to use a code library PCL FIG similar Boost of C ++ libraries.
modularity [,mɒdjʊ'lærɪtɪ]：n. 模块性
OpenCV is information acquisition and processing of 2D crystal, PCL has the same position in the 3D information acquisition and processing.
References
http://www.pclcn.org/
http://pointclouds.org/
http://docs.pointclouds.org/trunk/
http://www.pointclouds.org/documentation/
https://github.com/PointCloudLibrary
