Best Photogrammetry Software for Linux of 2024

VisualSFM is a GUI program for 3D reconstruction using structure-from-motion (SFM). The reconstruction system integrates several previous projects, including SIFT on GPU(SiftGPU), Multicore Bundle adjustment, and Towards Linear time Incremental Structure From Motion. VisualSFM is fast because it uses multicore parallelism to detect and match features, as well as bundle adjustment. This program incorporates Yasutaka Furukawa’s PMVS/CMVS toolchain for dense reconstruction.

Avica is a cloud-based platform for 3D photogrammetry. Avica Cloud is a cloud-based 3D photogrammetry platform that allows customers to quickly schedule large machines. This allows them to provide high-quality services and a cost-effective cloud service for the 3D reconstruction of real scenes. Customers will be greatly able to save time and money. Pay as you go, no license cost!

Agisoft Metashape, a standalone software product, performs photogrammetric processing on digital images and generates 3D spatial information to be used in GIS, cultural heritage documentation, visual effects production, as well as indirect measurements of objects at various scales. Agisoft Cloud platform provides cloud processing services for Agisoft Metashape customers who have registered an Agisoft Account. It allows you to send any project to the cloud for processing and, thus, to reduce investment in hardware infrastructure for a photogrammetric pipe. Other features include online visualization of processing results, sharing processing results option, embedding code generator tool to integrate your models into any website, and embedding codes generation tool. The service is available under a subscription model for storage space. Processing hours are charged on a per-minute basis.

The workflow to create a texture mesh from still images in Meshroom. Meshroom is a 3D reconstruction program that uses the open-source Photogrammetric Computer Vision Framework AliceVision. Enhance the robustness of sift feature extraction on difficult images by updating default values, adding new filtering and adding dsp–sift variation. A new post-processing can improve mesh quality. To favor smoothness, cells are filtered using a solid angle ratio.

Develop a C++ framework to increase awareness of the power and potential of 3D reconstruction using images and photogrammetry. Reproducible research is made easier by a simple-to-read framework that accurately implements both the "classic" and state-of-the-art algorithms. OpenMVG is easy to use, read, modify, and learn. The library is trusted to build larger systems thanks to its rigorous test-driven development and sample collection. OpenMVG is a 3D reconstruction framework that uses images. It includes libraries, binaries and pipelines. The libraries provide easy access to features like images manipulation, features description and matching, feature tracking, camera models, multiple-view-geometry, robust-estimation, structure-from-motion algorithms, etc. The binaries solve unit tasks that a pipeline could require scene initialization, feature detection & matching and structure-from-motion reconstruction.

We create a fully integrated software system for 3D reconstruction, photomodeling, and camera tracking. We want to create a solid software platform with the most current computer vision algorithms. This software can be used to test, analyze, and then reused. To provide cutting-edge algorithms that are robust and high quality throughout the shooting process and visual effects, industry and academia must be linked. Photogrammetry is the science that measures photographs. It determines the geometry of a scene by looking at a collection of unrelated photographs or videos. Photography is the projection of 3D scenes onto a 2D plane. This results in loss of depth information. Photogrammetry attempts to reverse this process. The dense modeling of the scene is the result yielded by chaining two computer vision-based pipelines: "Structure-from-Motion" (SfM) and "Multi View Stereo" (MVS).