VisualSFM Reviews

VisualSFM

5.0 out of 5 stars

Average Ratings 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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Average Ratings 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

Description

PhotoMesh is a versatile photogrammetry application that transforms aerial, drone, and terrestrial images, videos, and LiDAR data into both 2D and 3D geospatial products that are georeferenced. It creates various outputs, including textured 3D meshes, Gaussian splatting models, point clouds, true orthophotos, and digital surface and terrain models. The software incorporates aerotriangulation, ground control points, quality reporting, and alignment features with existing 3D datasets or LiDAR, facilitating repeated surveys, change detection, mapping, infrastructure engineering, and asset inspections. Capable of processing extensive image collections, PhotoMesh allows project workloads to be distributed across multiple fuser machines or cloud resources for enhanced efficiency. It supports diverse types of imagery, including RGB, multispectral, and thermal. The software generates outputs like 3DML, 3D Tiles, I3S/SLPK, LAS, and GeoTIFF, which are ideal for GIS applications and 3D visualization processes. Additionally, integration with REST APIs enables automation in production and effective management of project queues. PhotoMesh is primarily designed for Windows, but it also offers Linux support for fuser installations and includes a separate managed service for cloud processing, providing users with flexible options for their photogrammetry needs. This adaptability makes it a valuable tool for professionals across various industries looking to enhance their geospatial analysis capabilities.

Description

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.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ArcGIS Yes 
Cesium Yes 
Drone Harmony Yes 
QGIS Yes 

Integrations

ArcGIS No 
Cesium No 
Drone Harmony No 
QGIS No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Skyline Software

Founded

1997

Country

United States

Website

www.skylinesoft.com/photomesh/

Vendor Details

Company Name

VisualSFM

Website

ccwu.me/vsfm/

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