OpenMVG (open Multiple View Geometry)
deep-video-mvs
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| OpenMVG (open Multiple View Geometry) | deep-video-mvs | |
|---|---|---|
| 10 | 1 | |
| 5,457 | 205 | |
| 1.7% | - | |
| 6.6 | 0.0 | |
| about 1 month ago | almost 3 years ago | |
| C++ | Python | |
| Mozilla Public License 2.0 | MIT License |
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OpenMVG (open Multiple View Geometry)
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HELP!!
Try to find a community that will know more about openMVG, like the discussion tab on their github.
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Import many photogrammetry software's scenes into Blender
OpenMVG (JSON, NVM, PLY)
- 10 years of OpenMVG. A developer perspective.
- 10 years of OpenMVG - A developer retrospective
- Sharing feedback on 10 years of OSS on OpenMVG
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What are some C++ projects with high quality code that I can read through?
I find openMVG very decent, FTXUI might be a good one and nlohmann's json library is also pretty nice. I don't really know of any project that strictly adheres to the core guidelines, except maybe for some of Jason Turner's (sample) projects.
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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
deep-video-mvs
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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.
If deep learning is an option, then you might want to check out http://zak.murez.com/atlas/, https://zju3dv.github.io/neuralrecon/, https://github.com/ardaduz/deep-video-mvs and the references therein. These methods can be better than classical ones, especially if overfitted on a specific type of scene.
What are some alternatives?
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
OpenCV - Open Source Computer Vision Library
nerf-pytorch - A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Meshroom - 3D Reconstruction Software
SGDepth - [ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
OpenSfM - Open source Structure-from-Motion pipeline
STEPS - This is the official repository for ICRA-2023 paper "STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation"
VTK - Mirror of Visualization Toolkit repository
simplerecon - [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
BundleFusion - [Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration