PointCloud to PointCloud2 and inverse converter, http://wiki.ros.org/point_cloud_converter by Radu Bogdan Rusu revived
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Updated
Jun 29, 2015 - C++
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates.
PointCloud to PointCloud2 and inverse converter, http://wiki.ros.org/point_cloud_converter by Radu Bogdan Rusu revived
Contains codes for calculating planes from rgbd-data
Point cloud semantic segmentation via Deep 3D Convolutional Neural Network
Kinect Camera 📷 calibration with JACO arm 💪 for Intelligent and Mobile Robotics course 💡🤖
A framework comprising Point Cloud Library's (PCL) resources for point cloud processing, object and people recognition using Kinect.
A point cloud segmentation algorithm based on clustering analysis
Aim to improve the code quality
An algorithm for projecting three-dimensional laser point cloud data into serialized two-dimensional images.
The toolbox implements the data conversion from CAD models (such as .obj/.off file) to point cloud(surface voxels) with RGB value and labels.
A ROS package with useful tools for simple operations on point clouds.
ROS-package with some utilities to cope with the noisy and dense data of the kinect and to perform efficiently some useful conversions such as depth image to point cloud or point cloud to laserscan.
SymSeg: Model-Free Object Segmentation in Point Clouds Using the Symmetry Constraint.
Sensor data transport using ROS and zmq
pybind11-based helpers to use pypcl along with ROS and its PointCloud2 messages.
Distributed depth camera system for point cloud stitching for ARENA