COLMAP vs ContextCapture

COLMAP is a free pipeline for reconstructing scenes in 3D from ordered or unordered image collections. Its Structure-from-Motion stage estimates camera poses and sparse 3D structure; its Multi-View Stereo stage uses PatchMatch stereo and stereo fusion to produce dense point clouds and meshes. Users can work through a graphical interface or command line. The GUI’s automatic reconstruction tool accepts an image folder and creates sparse and dense results in a workspace folder. For development, PyCOLMAP offers Python bindings for most functionality, and COLMAP can be built as a library for C++ code. Feature extraction options include SIFT, ALIKED, and LoMa; ALIKED and LoMa require ONNX support at build time. It supports a range of camera models and multi-camera rigs. Users can install pre-built binaries or build from source; macOS users also have a Homebrew formula, and a pre-built Docker image includes CUDA support. The library uses the new BSD license, while third-party dependencies have separate licenses. The project describes COLMAP as research software that may occasionally exit ungracefully when constraints are not met.

ContextCapture has no write-up on Specifiction yet; its figures are above.