pcl documentation

CMake Configuring PCL 1. Download the required software Install vs 2010 First Then install pcl--1.6.0 The full PCL installation package can be downloaded to: http://pointclouds.org/downloads/windows.html. Because my is VS2010, so I choose is 32 bit

Post the PCL web site on GitHub:https://github.com/PointCloudLibrary/pcl/From this site, you can usually find the installation of tutorial. Here are just a few of the general procedures for installing in ArchLinux.1. First of all, you need to

Howtoinstall and Configure PCL on Ubuntu Toinstall PCL, just follow official instructions onhttp://pointclouds.org/downloads/linux.html $sudoadd-apt-repository PPA:V-LAUNCHPAD-JOCHEN-SPRICKERHOF-DE/PCL $SUDOAPT-get Update $sudoapt-get Install Libpcl-

Reference Link: 78446600Refer to the blog, the official website has been installed unsuccessful, later reference to a blog post finally installed successfully, recorded as follows.1. Pre-installed dependent libraries are required. The website has

Summary The PCL creates a file-PCD for describing the set of spatial points. For a brief introduction to PCD, see here-http://pointclouds.org/documentation/tutorials/pcd_file_format.php Today is the simplest thing to do-the production and reading

Refer to PCL Installation instructions: http://www.pointclouds.org/documentation/tutorials/compiling_pcl_macosx.phpWhere macports can be replaced with homebrew, no problem.And then have the Mac installed CMake should go to cmake official website

PCL Home: http://pointclouds.org/about/ First, let's briefly describe what the PCL is. PCL is the short name of the point Cloud library and is a large open source project for 2d/3d image and point cloud processing, including a large number of points

demo of testing NDT methods,http://pointclouds.org/documentation/tutorials/normal_distributions_transform.php# Normal-distributions-transformSystem environment: Win7 os/pcl1.8.0/vs2010The weird is debug run, reported vector subscript out of range

Kinectfusion is a Microsoft research project that uses Kinect to reconstruct 3D surfaces in real time and ultimately for human-computer interaction.Watch the video first: http://research.microsoft.com/en-us/projects/surfacerecon/Algorithm in this:

Objective SLAM, simultaneous Localization and Mapping, Chinese translation simultaneous positioning and map creation, is a major research direction in the field of robotics in recent decades. As the core technology of autonomous robot, slam has