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ContextCapture

Bentley Systems
685 Stockton Drive
PA 19341 exton
United States of America

Specifications

  • Year of introduction
    2013
  • Year of last update
    2017
  • Modular
    Depending on your reality modeling workflow needs, ContextCapture is available as an on premise or cloud processing service solution. ContextCapture has two main modules, the master and the engine, in addition to an editor module.
  • License configuration
    Yes
  • Regional settings available
    Yes
  • System includes hardware
    N
  • Operating system(s)
    Microsoft Windows 7/8/10
  • CPU (min.)
    Any CPU
  • CPU (preferred)
    Intel I7 (4+ cores), 4.0+ Ghz
  • Min. RAM memory [Mb]
    8000
  • Preferred RAM memory [Mb]
    64000
  • Min. graphic card
    Any (Nvidia Tesla: from M serie only)
  • Supported special hardware
    All camera support and point clouds
  • 64-bit version of software available
    Y
  • Distributed processing capacity
    N
  • GPU based calculations
    Y
  • Preferred graphic card
    NVIDIA GeForce GTX 1080 Ti or TitanX, GTX1080
  • Pref. display memory [Mb]
    8000
  • Supported image sources
    All kind of digital RGB image (digital camera, airborne, UAV/drone, smartphone) Thermal imagery Video Frames Up to 300Gpixel
  • Input image formats
    JPEG, TIFF, RAW, JPEG2000, ECW (RGB and thermal) video frames extraction from: MP4, WMV, AVI, MOV and MPG files.
  • Export data formats
    3D textured meshes: 3MX, S3C, OBJ, 3SM Orthophotos and DSM Pointclouds: LAS, POD Unique mesh with level of details: 3MX with LOD (large scene) Cesim 3D tiles Bentley Microstation: DGN Other available formats: FBX, DAE, STL, OSGB
  • Scanned analogue Aerial Photos
    N
  • Digital Aerial Nadir Frames
    Y
  • Oblique Images
    Y
  • Linear array sensors
    N
  • Optical Satellite Images
    N
  • UAS Images
    Y
  • Radar Images
    N
  • Automatic contrast manipulations
    Y
  • Spatial convolution
    Y
  • Resampling
    downsampling available (initial rough process)
  • Radiometric corrections
    Y
  • Radiometric adjustment for mosaicing
    Y
  • Automatic interior
    Y
  • Relative
    Y
  • Automatic aerotriangulation
    Y
  • Automated blunder detection
    Y
  • Self calibration
    Y
  • images simultaneously processed
    Y
  • Automatic breakline extraction
    N
  • Checking facilities (DEM editing)
    N
  • Automatic contour generation
    Y
  • Mosaicing of orthoimages
    N
  • True orthoimage generation
    Y
  • Dense DSM creating capability
    Y
  • DSM to DTM filtering
    Y
  • Automatic seam line creation
    N
  • Dense Image Matching
    Y
  • Mapping facilities
    N
  • Semi-automatic corner point extraction
    N
  • Semi-automatic line feature extraction
    N
  • Semi-automatic building extraction
    N
  • 3D superimposition
    N
  • Integration with scanned maps
    N
  • Integration with 2D vector maps
    Y
  • Integration with 3D vector maps
    Y
  • Integration with point clouds
    Y
  • Automatic texturing
    Y
  • Length
    Y
  • Area
    Y
  • Volume
    Y
  • Main applications
    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. Applications: Surveying/mining/Inspection/Construction/Forensics/Earthworks/Environmental monitoring.
  • Distinguishable features
    - Supports point clouds (up to 500Mpoints) for hybrid reality model creation (point clouds and photos) - Free viewer/web publishing - CAD and 3D GIS interoperability - Supports thermal camera (far infrared) images - Supports multi GPU on a single machine - Efficient Color equalization algorithm - Rig support (multi-camera systems))

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