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What is openMVG?

Developing a C++ framework to bolster the understanding of 3D reconstruction techniques from images and photogrammetry can significantly enhance research reproducibility through a clear and precise implementation of both modern and classical algorithms. OpenMVG has been designed with user-friendliness in mind, ensuring that users can easily read, learn, modify, and apply the framework effectively. With a strong emphasis on test-driven development and a wealth of comprehensive examples, this library equips users with the tools necessary to build dependable large-scale systems. OpenMVG provides an all-encompassing framework for 3D reconstruction utilizing images, featuring a range of libraries, executables, and processing pipelines integral to the process. These libraries offer easy access to capabilities such as image manipulation, feature description and matching, camera modeling, feature tracking, robust estimation, and multiple-view geometry. The executables are tailored for specific pipeline tasks, encompassing scene initialization, feature detection, matching, and the structure-from-motion reconstruction process. Moreover, OpenMVG's adaptability and extensive functionality make it an indispensable resource for both newcomers and experienced researchers alike, fostering innovation and exploration in the realm of 3D reconstruction. The framework's emphasis on accessibility and versatility encourages collaboration and the sharing of knowledge among users at all levels.

What is AliceVision?

We create a detailed software solution focused on 3D reconstruction, photomodeling, and camera tracking. Our goal is to build a solid software base that leverages the latest computer vision algorithms, enabling thorough testing, analysis, and repurposing. Partnerships between academic institutions and the industry are crucial to delivering sophisticated algorithms that uphold the necessary robustness and quality throughout the visual effects and filmmaking stages. The field of photogrammetry, which is concerned with obtaining measurements from photographs, reconstructs the spatial layout of a scene using a series of disorganized images or videos. While conventional photography captures a three-dimensional environment and flattens it onto a two-dimensional plane, resulting in diminished depth perception, photogrammetry aims to recover this lost depth information. By combining two prominent computer vision techniques—“Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS)—we achieve a comprehensive representation of the scene, as these methods collaborate to form a unified model. This sophisticated process not only improves the precision of reconstructions but also plays a vital role in driving innovation across various visual media applications, ultimately pushing the boundaries of what is possible in digital imagery.

Media

Media

Integrations Supported

Integrations Supported

Blender
Houdini
Maya
Meshroom

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

Windows
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

openMVG

Company Website

github.com/openMVG/openMVG

Company Facts

Organization Name

AliceVision

Date Founded

2018

Company Website

alicevision.org

Categories and Features

Photogrammetry

Not specified

Categories and Features

3D Scanning

Not specified

Photogrammetry

Not specified

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