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  2. 2D to 3D conversion - Wikipedia

    en.wikipedia.org/wiki/2D_to_3D_conversion

    2D to 3D video conversion (also called 2D to stereo 3D conversion and stereo conversion) is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.

  3. 3D reconstruction from multiple images - Wikipedia

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

    3D reconstruction from multiple images is the creation of three-dimensional models from a set of images. It is the reverse process of obtaining 2D images from 3D scenes. The essence of an image is a projection from a 3D scene onto a 2D plane, during which process the depth is lost.

  4. Autostereogram - Wikipedia

    en.wikipedia.org/wiki/Autostereogram

    When the single 2D image is viewed with proper eye convergence, it causes the brain to fuse different patterns perceived by the two eyes into a virtual 3D image without, hidden within the 2D image, the aid of any optical equipment. SIS images are created using a repeating pattern. [18] [29] Programs for their creation include Mathematica. [30] [31]

  5. Google DeepMind AI can imagine a 3D model from a 2D image - AOL

    www.aol.com/news/2018-06-29-google-deepmind...

    One of the difficulties when it comes to creating visual recognition systems for an AI is to program what the human brain does effortlessly. Specifically, when a person enters an unfamiliar area ...

  6. 3D reconstruction - Wikipedia

    en.wikipedia.org/wiki/3D_reconstruction

    2D digital image acquisition is the information source of 3D reconstruction. Commonly used 3D reconstruction is based on two or more images, although it may employ only one image in some cases. There are various types of methods for image acquisition that depends on the occasions and purposes of the specific application.

  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 ...

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