3DF Zephyr vs OpenMVG

3DF Zephyr is Windows desktop software that reconstructs 3D models from photos, with workflows involving camera sensors, drones, and laser scanners. It estimates camera parameters automatically and offers global or incremental reconstruction pipelines. Outputs include orthophotos, orthomosaics, DEMs, contour lines, sections, CAD drawings, measurements, and project reports. Users can upload models to Sketchfab and videos to YouTube; Unity ArtEngine integration is described for people with an ArtEngine license. Plugins include native support for several laser scanner formats, a beta Canon DSLR remote-shooting plugin, and an experimental GEOBIM Revit plugin. Python scripts and XML files can automate workflows and batch processing. The free plan is for personal use and allows 50 photos or video frames, with limited exports and editing. Zephyr requires Windows 10 or 11, at least 16 GB of RAM, and 20 GB of free disk space. The listed Lite plan costs €199 a month, while the full Zephyr plan is listed at €4,200 a month.

OpenMVG is an open-source C++ library for multiple-view geometry, 3D computer vision, and structure from motion. It provides libraries, binaries, and pipelines for reconstructing 3D scenes from images. Library areas include image manipulation, feature description and matching, feature tracking, camera models, multiple-view geometry, robust estimation, and structure-from-motion algorithms. Its binaries can initialize scenes, detect and match features, perform reconstruction, and export scenes to other multiple-view-stereo frameworks. Those frameworks can compute dense point clouds or textured meshes from exported scenes. OpenMVG is released under the Mozilla Public License 2.0 and is listed as free. The project says it aims to support reproducible research through readable implementations of classic and state-of-the-art algorithms. It is designed for reading, learning, modification, and use, with test-driven development and samples. Tutorials cover data structures, library use, and processing an image dataset. Platforms listed are Windows, macOS, Linux, iOS, Android, and self-hosted, with desktop deployment, API access, point-cloud export, and ground control point support.