6th Inter-IIT Tech Meet 2018
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Updated
Nov 5, 2018 - Python
6th Inter-IIT Tech Meet 2018
Basic ICP Design for randomly transformed datas using MatLab
Various computer and robotic vision algorithms implemented from scratch.
This study aims to explore the algorithm for the comparison of 3D point sets as a method for evaluating the camera position and unknown parameter estimators obtained using it.
TypeScript implementation of iterative closest point (ICP) for point cloud registration
Efficient Rust ICP (Iterative Closest Point) implementation for 2d Point Clouds (using SVD and KDTree)
Mobile Robotics Course @ IIIT Hyderabad (Fall 2021)
基于点云的非线性配准matlab实现;Copy of http://www.mathworks.com/matlabcentral/fileexchange/41396-nonrigidicp
Code Implementation for Object 6D Pose Estimation
Iterative Closest Point Algorithm in Python and Mathematica
Implemented the Iterative Closest Point (ICP) algorithm, and used it to estimate the rigid transformation that optimally aligns two 3D point clouds
Native Python implementation of an SVD-based variant of the Iterative Closest Point (ICP) algorithm for matching 2 point clouds.
Iterative closest point GPU and CPU implementations (google benchmark)
An easy-to-use wrapper around some of Open3D's registration functionality.
Ethan's implementation of scan-matching.
Point-Set registration modules for 3D Slicer in ultrasound probe calibration
Computer Graphics: Implementation of Iterative Closest Point (ICP) algorithm
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