KIRI Engine vs OpenMVG

KIRI Engine is a 3D scanning application that creates models and visualizations using photogrammetry, Neural Surface Reconstruction, and 3D Gaussian Splatting. Photo Scan creates 3D models from photos. LiDAR Scan supports model scans, floor plans, and quick scene visualizations on LiDAR-equipped iOS devices, while Featureless Object Scan is designed for shiny, reflective, transparent, and low-texture objects. The free Basic plan costs nothing and permits up to 150 photos and 2 GB per scan, with unlimited scans and free exports. Pro costs $17.99 a month or $79.99 a year, and raises the limits to 500 photos and 5 GB per scan while adding faster queue processing and advanced scanning and modeling features. The API offers Photo Scan, Featureless Scan, and 3DGS Scan; each API call uses one credit. Credits cost 1.00 USD each, with a 500-credit minimum recharge and 10 free test credits at sign-up. Other listed tools include a website model embedder, a UE5 plug-in, and STL export. Uploaded photos and videos are processed on cloud servers, and local PC scanning is not on the company's roadmap at the moment.

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.