Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Imreg_fmt | 73 | 10 months ago | 2 | gpl-3.0 | C++ | |||||
Image registration based on the Fourier-Mellin transform | ||||||||||
Maks | 50 | 2 years ago | 1 | mit | MATLAB | |||||
Motion Averaging | ||||||||||
Superpose3d | 26 | 2 years ago | 26 | March 21, 2022 | 1 | mit | Python | |||
register 3D point clouds using rotation, translation, and scale transformations. | ||||||||||
Imreg | 24 | 1 | 4 months ago | 4 | September 27, 2022 | bsd-3-clause | Python | |||
FFT based image registration. Forked from https://pypi.org/project/imreg | ||||||||||
Picp | 15 | 4 years ago | mit | C++ | ||||||
pICP: plain Iterative Closest Point, a no-frills implementation in C++ of a simple rigid 3D registration algorithm. Easy to integrate, uses minimal dependencies. | ||||||||||
Superpose3d_cpp | 14 | 2 years ago | mit | C++ | ||||||
header-only C++ library for registering 3D point clouds using rotation, translation, and scale transformations | ||||||||||
Umeyama Matlab | 14 | 8 years ago | 1 | mit | Matlab | |||||
Simple Matlab implementation for the umeyama method for point cloud registration. Linked on Matlab Central. | ||||||||||
Pointwiserigidregistrationstep | 13 | 10 months ago | apache-2.0 | Python | ||||||
Step for rigid-body and scaling registration of 2 point clouds. | ||||||||||
Icp | 12 | 3 years ago | 4 | mit | C++ | |||||
Implementation of the photogeometric ICP algorithm in OpenCL | ||||||||||
2d 3d Point Set Registration Based On Global Rotation Search | 9 | 5 years ago | 1 | mit | MATLAB | |||||
# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong [email protected] # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # Any publications resulting from the use of this code should cite the # following paper: # Yinlong Liu, Yuan Dong, Zhijian Song and Manning Wang, "2D 3D Point Set Registration Based on Global Rotation_Search", IEEE Transactions on Image Processing (TIP) # # #==================Note================= # #1. First step->open demo_rot.m. It is a demo of Rotation Search in SO(3) for 2D-3D point set registration. # #2. The input data is set to a real circumstance that 3D point set is far away for projection plane, and in front of camera. Our method also can be applied to unusual condition that camera is surrounded by 3D point set, only if you make some fix. # #3. RotaionSearch.m is the kernel of algorithm. You can easily extend it to SE(3) searching by grid-search, while tuning parameters depends on your tasks. # #4. Fast and Global 2D-3D point set registration without correspondence is still an open problem and need further explorations. I am very happy that if you could benefit from our code. # # # Author: Yinlong Liu # Date: 20181218 # Revision: 1.0 |