OpenMVG (open Multiple View Geometry)
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion. (by openMVG)
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo (by colmap)
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| OpenMVG (open Multiple View Geometry) | colmap | |
|---|---|---|
| 4 | 16 | |
| 4,200 | 3,976 | |
| 2.3% | 4.8% | |
| 6.8 | 7.9 | |
| 2 days ago | 1 day ago | |
| C++ | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
OpenMVG (open Multiple View Geometry)
Posts with mentions or reviews of OpenMVG (open Multiple View Geometry).
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-20.
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helpful pointers to state-of-the-art material for depth estimation from multi-view videos captured from cameras with arbitrary poses.
I am looking for some pointers to papers/open-source software that can do fast and accurate depth estimation from multi-view videos. I am aware of colmap and OpenMVG software but was curious to know if there are others out there that outperform these. I am also interested in any state-of-the-art for depth estimation using unsupervised or self-supervised neural networks.
- Packages for Bundle Adjustment
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Does anyone have open source C++ projects that I can try contributing to?
OpenMVG is super cool, and the project lead Pierre is very generous with his time.
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Using Meshroom as a lib in python
Meshroom is just a Python wrapper for VSfM. OpenMVS seems like the package most customizers are starting to use. https://github.com/openMVG/openMVG
colmap
Posts with mentions or reviews of colmap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-20.
- COLMAP - Structure-from-Motion and Multi-View Stereo
-
helpful pointers to state-of-the-art material for depth estimation from multi-view videos captured from cameras with arbitrary poses.
I am looking for some pointers to papers/open-source software that can do fast and accurate depth estimation from multi-view videos. I am aware of colmap and OpenMVG software but was curious to know if there are others out there that outperform these. I am also interested in any state-of-the-art for depth estimation using unsupervised or self-supervised neural networks.
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Photogrammetry of tiny plants! Multi view reconstruction.
I agree with u/SupersonicSandwich. I would also add that it might be a good idea to give https://colmap.github.io/ a try. It's very easy to use and it's currently the best classical photogrammetry method in terms of quality vs usability tradeoff.
- budget 3d scanning options
- Nvidia Research Turns 2D Photos into 3D Scenes in the Blink of an AI
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Questions for SLAM/SfM for Dense 3D Reconstruction (DSO vs ORB, Monofusion etc.)
If real-time is not a strict requirement, a good tradeoff between ease of use and SOTA performances is https://colmap.github.io/. I have used it many times and it gives decent results (usually).
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Packages for Bundle Adjustment
Colmap(https://github.com/colmap/colmap) is probably the best one, as it has prebuilt executables and a GUI you can run.
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What approach is the best to take for a cv-beginner trying to learn 3d-reconstruction?
Deep learning is quite bad at geometry. I'm not aware of any SFM system powered by neural networks (except for maybe in some sub-module like feature matching) that actually works better than a simple COLMAP run (https://colmap.github.io/).
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trying to recreate a tourist attraction that has been demolished. Anyone want to give it a try?
Have a shot at using Colmap
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Using Unified Camera Model parameters in COLMAP: Hierarchical Localization
Part of this algorithm works as follows: it takes in a list of query image names, together with info on the image and camera. An example of such a list can be found here, which is used in one of the example notebooks of the localization algorithm. The entries in a row of this file are: filename, camera model, width, height and camera intrinsics parameters. Like shown in the file, the camera parameters are expressed in the SIMPLE_RADIAL model, one of the eleven camera models supported by COLMAP.
What are some alternatives?
When comparing OpenMVG (open Multiple View Geometry) and colmap you can also consider the following projects:
meshroom - 3D Reconstruction Software
openMVS - open Multi-View Stereo reconstruction library
OpenCV - Open Source Computer Vision Library
OpenScan - All you need to build your 3D Scanner
Hierarchical-Localization - Visual localization made easy with hloc
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
VTK - Mirror of Visualization Toolkit repository
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
libvips - A fast image processing library with low memory needs.
Blender-Addon-Photogrammetry-Importer - Addon to import different photogrammetry formats into Blender
OpenEXR - The OpenEXR project provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry.