A lean C++ library for working with point cloud data
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Updated
Aug 15, 2023 - C++
A lean C++ library for working with point cloud data
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
KinectFusion implemented in Python with PyTorch
Various point cloud tools for Matlab
A Python implementation of the Iterative Closest Point algorithm
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
Iterative closest point (ICP) to match point clouds to templates
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
A library to map match and help tackle the problem of overlapping/intersecting road and building footprint that arises in the process of map making
Useful links regarding aligning two Point Clouds
Registration algorithms (e.g. ICP) for Python with PCL backend.
Iterative closest point GPU and CPU implementations (google benchmark)
An easy-to-use wrapper around some of Open3D's registration functionality.
Analysis and implementation of ICP variants
Implementation of Iterative Closest Point and Trimmed Iterative Closest Point algorithms.
Mobile Robotics Course @ IIIT Hyderabad (Fall 2021)
6th Inter-IIT Tech Meet 2018
Native Python implementation of an SVD-based variant of the Iterative Closest Point (ICP) algorithm for matching 2 point clouds.
Accepted at BioImage Computing Workshop in ECCV, 2020
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