openMVG Description
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.
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VisualSFM
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.
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Meshroom
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.
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Integrations
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Company Details
Company:
openMVG
Website:
github.com/openMVG/openMVG
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Product Details
Platforms
Windows
Mac
Linux
Types of Training
Training Docs
Customer Support
Live Rep (24/7)
Online Support
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