About COLMAP
COLMAP is a powerful, open-source tool for 3D reconstruction from images, combining Structure-from-Motion (SfM) and Multi-View Stereo (MVS) in a single pipeline. It supports both ordered and unordered image collections and runs on Windows, Linux, and macOS. COLMAP is ideal for researchers, developers, and professionals needing scalable 3D reconstruction solutions. The software is licensed under the BSD License and includes pre-built vocabulary trees for efficient large-scale matching.
FAQ
COLMAP runs under Windows, Linux, and Mac on regular desktop computers or compute servers/clusters.
You can download pre-release binaries, release binaries, or build from source. For dense reconstruction and multi-GPU feature extraction/matching, compile or download the binaries with CUDA support, which requires a CUDA-enabled NVidia GPU.
Yes, the source code is available on GitHub and documentation is available at colmap.github.io. For questions, use GitHub Discussions, and for bug reports or feature requests, use GitHub Issues.
Vocabulary trees are used for scalable matching of larger datasets. COLMAP provides pre-built trees for small-scale (32K visual words), medium-scale (256K visual words), and large-scale (1M visual words) image collections. Alternatively, you can build a custom vocabulary tree tuned for your target application using COLMAP.
Pre-release binaries contain the latest improvements and are more frequently updated with new fixes, while release binaries are stable versions typically released after major new features have been added and tested for longer periods.
Yes, a number of different test datasets are available for download with more information provided in the documentation.
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