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Description
Transform simple photographs and point clouds into intricate 3D models. The process of reality modeling involves capturing the physical attributes of an infrastructure asset, developing a detailed representation, and ensuring its upkeep through ongoing surveys. Bentley's ContextCapture is a powerful reality modeling software that offers a comprehensive digital representation of the real world by producing a 3D reality mesh. This 3D reality mesh comprises numerous triangles and image data, forming a detailed model of actual conditions. Each element within this digital framework can be automatically identified and geospatially linked, allowing for an engaging and intuitive experience when navigating, locating, viewing, and querying asset information. Reality meshes find versatile applications across various engineering, maintenance, and GIS processes, offering essential real-world context to inform decisions related to design, construction, and operations. This technology often utilizes overlapping aerial photographs captured by drones, alongside ground-level images and, when necessary, enhanced with laser scans for accuracy. As such, the integration of these methods ensures a thorough and reliable digital representation of the physical environment.
Description
The open-source platform designed for the processing and editing of 3D triangular meshes offers an array of tools for various tasks, such as editing, cleaning, healing, inspecting, rendering, texturing, and converting these meshes. It includes capabilities for handling raw data generated by 3D digitization devices and for preparing models suitable for 3D printing applications. In the latest update, support has been added for multiple file formats (.gltf, .glb, .nxs, .nxz, .e57), along with the introduction of a new plugin dedicated to precise mesh boolean operations. A critical phase in the workflow for handling 3D scanned data is the 3D data alignment process, often referred to as registration. MeshLab equips users with robust tools to align various meshes within a unified reference framework, effectively managing extensive sets of range maps. Additionally, it features a finely-tuned Iterative Closest Point (ICP) algorithm for one-to-one alignment, which is complemented by a global bundle adjustment step to optimize error distribution. Users can perform this alignment on both meshes and point clouds obtained from a variety of sources, including active scanners, whether they operate over short or long ranges. This versatility enhances the overall functionality and effectiveness of the tool in 3D data processing.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bentley Systems
Founded
1984
Country
United States
Website
www.bentley.com/en/products/brands/contextcapture
Vendor Details
Company Name
MeshLab
Country
3D Rendering
Website
www.meshlab.net
Product Features
3D Modeling
2D Drawing
Animation
Annotations
Bill of Materials
Character Modeling
Collaboration Tools
Component Library
Data Import / Export
For 3D Printing
For Architects
For Manufacturers
Reference Management
Simulation
Drone Mapping
2D Maps
3D Maps
Annotations
Compare Maps
Distance Measurement
Elevation Profiles
Overlays
Photogrammetry
Sharing Tools
Site Progress Tracking
Virtual Inspections