基于点云的非线性配准matlab实现;Copy of http://www.mathworks.com/matlabcentral/fileexchange/41396-nonrigidicp
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Updated
Nov 13, 2015 - MATLAB
基于点云的非线性配准matlab实现;Copy of http://www.mathworks.com/matlabcentral/fileexchange/41396-nonrigidicp
Iterative closest point (ICP) to match point clouds to templates
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.
Various computer and robotic vision algorithms implemented from scratch.
6th Inter-IIT Tech Meet 2018
Dash Robotics Perception
Useful links regarding aligning two 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)
Calibration of LiDAR-Sensors - PointCloud Alignment/Registration tools with PCL & ROS
This repo shows a simple way to utilize pcl:IterativeClosestPoint for localization
Registration algorithms (e.g. ICP) for Python with PCL backend.
Implementation of ICCV 2017: Colored Point Cloud Registration Revisited
Mobile Robotics Course @ IIIT Hyderabad (Fall 2021)
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
Computer Graphics: Implementation of Iterative Closest Point (ICP) algorithm
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