Create 3D Engineering-ready Reality Meshes
With ContextCapture, you can cost effectively produce 3D models of the most challenging existing conditions for use on every infrastructure project, using ordinary photographs. You can add point clouds fo
With ContextCapture, you can cost effectively produce 3D models of the most challenging existing conditions for use on every infrastructure project, using ordinary photographs. You can add point clouds for additional accuracy resulting in ﬁ ne details, sharp edges, and geometric accuracy. You can quickly create and use these highly detailed 3D reality meshes to provide precise real-world context for design, construction, and operations decisions for use throughout the lifecycle of projects.
ContextCapture allows you to reliably and quickly produce 3D models of any scale, from objects of a few centimeters to entire cities. The only limit in the precision of the resulting 3D model is the resolution of the input data.
You can affordably develop precise reality meshes faster without investing time and resources in specialized acquisition devices and associated training, since ordinary cameras are all that is required.
You can conﬁdently and reliably deliver highly detailed models of any scale, faster than before due to ContextCapture’s use of general-purpose computation on graphics processing units (GPGPU) as well as multi-core computing. ContextCapture can process about 20 gigapixels per day, per computer.
You can access and share these richly photo-textured 3D models of existing conditions in any CAD or GIS workﬂ ow on desktop and mobile devices, in many formats, including for native use within MicroStation® and other Bentley applications.
Depending on your reality modeling workﬂow needs, ContextCapture is available as an on premise or cloud-processing service solution.
ContextCapture has three main modules master, engine, and editor. The master module provides a graphical user interface that allows you to deﬁne input data, processing settings, submit processing tasks, monitor progress, and visualize results. The engine module runs on a computer in the background, without user interaction, and performs the computationally intensive algorithms. This master-worker pattern allows ContextCapture to support grid computing and dramatically reduces processing time simply by running multiple ContextCapture engines on several computers and working on a shared job queue. ContextCapture Editor is a 3D CAD module for editing and analyzing reality data and is included with ContextCapture and ContextCapture Center.
You can quickly produce reality meshes using your local machine or upgrade to ContextCapture Center to save time by employing scalable computing power to speed production of your 3D models leveraging the latest parallel computing systems.
When creating extremely large models, take advantage of greater computational power with ContextCapture Center. It adds the capability to leverage grid computing to dramatically speed processing time by running multiple engines on several computers, and associating them to a single job queue. If you have projects larger than 300 gigapixels of imagery, use ContextCapture Center to seamlessly handle terabytes of input imagery.
You can speed production using the latest computing systems for desktop and cluster processing units, including leveraging GPU computing, multi-core computing, advanced bundle block adjustment, tiling mechanisms, task queuing and monitoring, grid computing, and ultra-large project management.
|Imagery dataset size per project||Up to 300 Gigapixels||Unlimited|
|Scanned point clouds limitation per project||500 Million||Unlimited|
|Mesh export formats (3MX/3SM/DGN/I3S/OBJ/FBX/STL/DAE/OSGB/Cesium)||*||*|
|Colored point cloud export (POD/LAS)||*||*|
|True orthophoto / 2.5D Digital Surface Model (TIFF/GEOTIFF/KML)||*||*|
|Parallel (cluster) processing for unlimited scalability||*|
|Software development kit||*|
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