Best Photogrammetry Software for Linux of 2025

VisualSFM is a user-friendly application designed for creating 3D models through a process known as structure from motion (SFM). This reconstruction software combines elements from several earlier projects I have worked on, including SIFT on GPU (SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. By leveraging multicore parallel processing, VisualSFM enhances speed and efficiency in tasks such as feature detection, feature matching, and bundle adjustment. Additionally, for dense reconstruction, it seamlessly incorporates Yasutaka Furukawa's PMVS/CMVS tool chain, allowing for improved results in the final output. This integration of various tools and techniques makes VisualSFM a powerful resource for those engaged in 3D reconstruction projects.

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 is an independent software application that facilitates the photogrammetric analysis of digital images, creating 3D spatial data applicable in GIS, cultural heritage preservation, and visual effects, as well as enabling indirect measurements of various objects. Additionally, the Agisoft Cloud platform provides a cloud processing service for users with an Agisoft Account, allowing them to offload project processing to the cloud and reducing the need for significant hardware investments for photogrammetric workflows. This service enhances user experience by offering features such as online visualization of processing outcomes, options for sharing these results, and tools for generating embed codes to incorporate models into websites. The cloud service is available through a subscription model that includes charges for storage space and processing hours calculated on a per-minute basis. Ultimately, this integration of cloud services broadens the accessibility and efficiency of photogrammetric projects for professionals in various fields.

Enhance the understanding of 3D reconstruction capabilities from images and photogrammetry by creating a C++ framework. Facilitate reproducible research through an easily comprehensible and precise implementation of both contemporary and traditional algorithms. OpenMVG is crafted to be user-friendly, allowing for straightforward reading, learning, modification, and application. With its rigorous test-driven development and comprehensive samples, the library empowers users to construct reliable larger systems. OpenMVG encompasses a complete framework for 3D reconstruction from images, comprising various libraries, executables, and processing pipelines. The libraries grant seamless access to functionalities such as image manipulation, feature description and matching, camera models, feature tracking, robust estimation, and multiple-view geometry. The executables address specific tasks required by a pipeline, including scene initialization, feature detection, matching, and the reconstruction process known as structure-from-motion. Furthermore, this versatility makes OpenMVG a valuable tool for both beginners and seasoned researchers in the field.

We create a comprehensive software solution for 3D reconstruction, photomodeling, and camera tracking. Our objective is to establish a robust software foundation that incorporates cutting-edge computer vision algorithms, which can be rigorously tested, analyzed, and reused. To ensure the delivery of advanced algorithms that meet the high standards of quality and reliability throughout the visual effects and filming workflow, it is essential to foster connections between academia and industry. Photogrammetry, the discipline focused on obtaining measurements from photographs, deduces the geometry of a scene using a collection of unordered images or videos. While photography captures a 3D scene onto a 2D surface, resulting in a loss of depth perception, photogrammetry seeks to reverse this effect. The comprehensive modeling of a scene is achieved by linking two computer vision techniques: "Structure-from-Motion" (SfM) and "Multi View Stereo" (MVS). This integrated pipeline enhances the accuracy and detail of the reconstructed 3D models. Ultimately, our mission is to push the boundaries of visual representation in various applications.

The process of generating a detailed textured mesh from still images using Meshroom is outlined, with Meshroom being a 3D reconstruction tool built on the open-source Photogrammetric Computer Vision Framework known as AliceVision. To enhance the reliability of SIFT feature extraction in difficult images, adjustments to default settings are made, along with the introduction of new filters and the implementation of a DSP-SIFT variant. Mesh quality is further improved through a new post-processing technique, where the status of cells—whether empty or full—is filtered based on solid angle ratios to promote a smoother appearance. Users on certain systems, such as Ubuntu, may encounter compatibility issues between native drivers and Mesa drivers, potentially resulting in an empty black screen. Importantly, AliceVision respects user privacy and does not gather or share any personal or system-related data without explicit consent. Additionally, this website utilizes Google Analytics to collect session data regarding page views, which is solely used to gain insights into user interaction with the website and the overall AliceVision project, ensuring that user experience continues to improve. This commitment to both functionality and privacy reflects a dedication to user satisfaction and software reliability.