VisualSFM Reviews & Ratings

VisualSFM

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 3 out of 5 stars
support 3 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is VisualSFM?

VisualSFM is a convenient application that facilitates the creation of 3D models using a technique known as structure from motion (SFM). This software integrates components from several previous projects I've been involved with, such as SIFT on GPU (SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. By utilizing multicore parallel processing, VisualSFM significantly boosts the speed and effectiveness of processes like feature detection, feature matching, and bundle adjustment. Furthermore, for achieving dense reconstruction, it effectively incorporates Yasutaka Furukawa's PMVS/CMVS toolchain, which enhances the quality of the final output. The combination of these diverse tools and methodologies positions VisualSFM as an invaluable asset for individuals working on 3D reconstruction endeavors. Whether you are a novice or an expert, this application provides the resources necessary to streamline the modeling process.

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

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

VisualSFM

Company Website

ccwu.me/vsfm/

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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