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 Meshroom?

The procedure for creating a detailed textured mesh from still images using Meshroom is explained, with Meshroom functioning as a 3D reconstruction tool that operates on the open-source Photogrammetric Computer Vision Framework called AliceVision. To increase the effectiveness of SIFT feature extraction in challenging images, alterations to the default configurations are implemented, which includes the addition of new filters and the application of a DSP-SIFT variation. In addition, a novel post-processing method enhances mesh quality by filtering the status of cells—designating them as either empty or full—based on solid angle ratios, resulting in a more refined appearance. Users operating on specific systems, particularly Ubuntu, may face compatibility challenges between native drivers and Mesa drivers, which could lead to a display issue characterized by an empty black screen. It is crucial to note that AliceVision prioritizes user privacy by refraining from collecting or sharing any personal or system-related information without prior consent. Furthermore, this website employs Google Analytics to gather session data on page views, using this information solely to understand user engagement with the website and the broader AliceVision project, thereby enhancing user experience. This dual commitment to functionality and privacy underscores the importance placed on user satisfaction and the reliability of the software while promoting continuous improvements in the platform. Overall, these measures exemplify the dedication to creating a seamless and trustworthy experience for all users.

Media

Media

Integrations Supported

Integrations Supported

AliceVision
Prevu3D

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 Location

United States

Company Website

alicevision.org/#meshroom

Categories and Features

Photogrammetry

Not specified

Categories and Features

3D Scanning

Not specified

Drone Analytics

Not specified

Drone Mapping

Not specified

Photogrammetry

Not specified

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