3D object detection and recognition based on RGBD Image using Pointcloud and Artificial Neural Network at ROS Workspace
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Updated
Jan 27, 2021 - 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.
3D object detection and recognition based on RGBD Image using Pointcloud and Artificial Neural Network at ROS Workspace
PointCloud to PointCloud2 and inverse converter, http://wiki.ros.org/point_cloud_converter by Radu Bogdan Rusu revived
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Generating a cost map from point cloud data using local elevation binning
A 3D and 2D processing base on glam
Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''
2 Python API functions for point cloud conversion between Open3D and ROS. Compatible for XYZ and XYZRGB point type.
Point cloud semantic segmentation via Deep 3D Convolutional Neural Network
Examples of how to build (with docker) and use pointcloud-raster
3D immersive software for visualization and mensuration of LIDAR point clouds
A library for handling 3D points cloud maps in Python.