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  2. 3D reconstruction from multiple images - Wikipedia

    en.wikipedia.org/wiki/3D_Reconstruction_from...

    A 3D selfie in 1:20 scale printed by Shapeways using gypsum-based printing, created by Madurodam miniature park from 2D pictures taken at its Fantasitron photo booth 3D models are generated from 2D pictures taken at the Fantasitron 3D photo booth at Madurodam. Generating and reconstructing 3D shapes from single or multi-view depth maps or ...

  3. PhotoModeler - Wikipedia

    en.wikipedia.org/wiki/PhotoModeler

    PhotoModeler [1] is a software application that performs image-based modeling and close range photogrammetry – producing 3D models and measurements from photography. The software is used for close-range, aerial and uav photogrammetry.

  4. 3DF Zephyr - Wikipedia

    en.wikipedia.org/wiki/3DF_Zephyr

    3DF Zephyr [1] [2] is a commercial photogrammetry and 3D modeling software. Developed and marketed by the Italian software house 3DFLOW, 3DF Zephyr was first released in January 2014 and continuously updated since then.

  5. Photosynth - Wikipedia

    en.wikipedia.org/wiki/Photosynth

    The Photosynth Direct 3D-based viewing software is only available to the Windows 7, Windows Vista and Windows XP operating systems. However, the team released a Silverlight version of the viewer which has succeeded the D3D viewer as the main option to view photosynths.

  6. Autodesk 123D - Wikipedia

    en.wikipedia.org/wiki/Autodesk_123D

    Catch uses photogrammetry technology to create a 3D model out of multiple pictures taken by the user. It does this by stitching together the images with common visual structures automatically, then asking the user to help connect points that could not be determined through software. Catch can be used to create 3D models of people, places, and ...

  7. Image-based modeling and rendering - Wikipedia

    en.wikipedia.org/wiki/Image-based_modeling_and...

    The traditional approach of computer graphics has been used to create a geometric model in 3D and try to reproject it onto a two-dimensional image. Computer vision, conversely, is mostly focused on detecting, grouping, and extracting features (edges, faces, etc. ) present in a given picture and then trying to interpret them as three-dimensional ...