Meshroom
Meshroom is an open source 3D reconstruction software that can generate textured 3D models from images. It is based on the AliceVision framework and uses photogrammetry algorithms.
photogrammetry
3d-reconstruction
image-processing
Meshroom: Open Source 3D Reconstruction Software
Generate textured 3D models from images with Meshroom, an open source 3D reconstruction software based on the AliceVision framework and photogrammetry algorithms.
What is Meshroom?
Meshroom is an open-source 3D reconstruction software that can generate textured 3D models from a set of images. It is designed to produce 3D models for purposes like cultural heritage, games, VR/AR, or architecture.
It works by using photogrammetry and computer vision algorithms to estimate camera positions and geometry from a set of photographs of an object or scene. The process involves detecting features in the images, matching them across images, estimating camera positions, calculating depth data via multi-view stereo, and finally generating a 3D mesh by fusing the depth data.
Some key capabilities and features of Meshroom include:
- Automated pipeline for generating textured 3D models
- Photorealistic output with accurate colors and details
- Flexibility to handle diverse scenes like buildings, small objects, interiors, etc.
- Ability to process hundreds of high-res images
- Customizable workflow graph interface
- Extensive export options - OBJ, Alembic, USD, etc.
- Large node graph ecosystem for developers
Meshroom is free, open source software based on the AliceVision framework. It runs on Windows, Linux and macOS. The simple interface and automation makes it accessible for beginners while also providing advanced capabilities for experts.
Meshroom Features
Features
- Photogrammetry pipeline for generating textured 3D models
- Structure from Motion (SfM) algorithms
- Multi-View Stereo (MVS) algorithms
- Automatic camera calibration
- Point cloud generation
- Mesh generation
- Texture mapping
Pricing
- Open Source
Pros
Free and open source
User friendly graphical interface
Supports many input image formats
Can handle large image datasets
Good reconstruction quality
Customizable workflow
Cons
Can be resource intensive
Requires some photography skills for best results
Limited post processing tools
Steep learning curve for advanced settings
No official user support
Official Links
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