A list of papers and datasets about point cloud analysis (processing)
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Updated
May 19, 2023
A list of papers and datasets about point cloud analysis (processing)
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
A fast and robust point cloud registration library
pyntcloud is a Python library for working with 3D point clouds.
My awesome point cloud labeling tool
Python implementation of SLAM algorithm Stereo-PTAM
[ECCV'20] Convolutional Occupancy Networks
A lightweight tool for labeling 3D bounding boxes in point clouds.
Papers, code and datasets about deep learning for 3D Object Detection.
Deep learning for grasp detection within MoveIt.
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
[CVPR'23] OpenScene: 3D Scene Understanding with Open Vocabularies
Virtual Sparse Convolution for Multimodal 3D Object Detection
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)
Accurate, detailed, and automatic modelling of laser-scanned trees
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
Python implementation of RGBD-PTAM algorithm
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