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Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
zddhub/opensse 876 0 0 about 5 years ago 0 0 other C++
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codrops/Interactive3DMallMap 617 0 0 over 9 years ago 0 6 HTML
An interactive 3D mall map concept with a sidebar search and pin indicators for every level.
mehmetkahya0/AI-Catalog 255 0 0 about 2 years ago 0 0 gpl-3.0
Huge AI models catalog. A curated list of AI tools, platforms, and resources across various domains.
xyjigsaw/Knowledge-Graph-And-Visualization-Demo 171 0 0 over 2 years ago 0 1 mit Python
There are 2D-Search and 3D-Graph-View for knowledge graph visualization.
seung-lab/dijkstra3d 60 1 1 over 2 years ago 23 August 31, 2021 8 gpl-3.0 C++
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biocryst/biozernike 30 0 0 about 2 years ago 10 February 02, 2023 2 mit Java
Protein structure descriptors and alignment based on 3D Zernike moments.
ascribe/match3d 12 0 0 over 7 years ago 0 3 apache-2.0 Python
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shawnchin/kd3 10 0 0 about 8 years ago 0 0 C
Balanced 3D k-d tree. Used for searching neighbouring points within a certain radius of influence.
fdyuandong/2D-3D-Point-Set-Registration-Based-on-Global-Rotation-Search 9 0 0 about 7 years ago 0 1 mit MATLAB
# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong Liu@outlook.com # # 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
unixpickle/solid-trace 7 0 0 almost 6 years ago 0 0 bsd-2-clause JavaScript
Visualize 3D solids implemented as JavaScript boolean functions
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# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong Liu@outlook.com # # 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


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