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  2. 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]

  3. Barrier-grid animation and stereography - Wikipedia

    en.wikipedia.org/wiki/Barrier-grid_animation_and...

    The images presented to each eye are slightly different, and are constructed such that the brain can combine them to create the illusion of depth via stereopsis. This allows viewing of 3D images without the need for specialized glasses, making it a practical and convenient solution for a wide range of applications.

  4. Spinning mirror system - Wikipedia

    en.wikipedia.org/wiki/Spinning_mirror_system

    Figure 1: Diagram and image of a spinning mirror system. The diagram shows the mirror system and the synchronized engine that displays light from the high speed video projector . Spinning mirror systems are used to build interactive 3D graphics and autostereoscopic visuals visible to multiple simultaneous viewers, since a different view can be ...

  5. List of optical illusions - Wikipedia

    en.wikipedia.org/wiki/List_of_optical_illusions

    An autostereogram is a single-image stereogram (SIS), designed to create the visual illusion of a three-dimensional (3D) scene from a two-dimensional image in the human brain. An ASCII stereogram is an image that is formed using characters on a keyboard. Magic Eye is an autostereogram book series. Barberpole illusion

  6. VistaPro - Wikipedia

    en.wikipedia.org/wiki/VistaPro

    VistaPro is 3D scenery generator for the Amiga, Macintosh, MS-DOS, and Microsoft Windows.It was written by John Hinkley as the follow-up to the initial version, Vista. [1] [2] The about box describes it as "a 3-D landscape generator and projector capable of accurately displaying real-world and fractal landscapes."

  7. Wiggle stereoscopy - Wikipedia

    en.wikipedia.org/wiki/Wiggle_stereoscopy

    An example of monocular portrait images of human faces that have been converted to create a moving 3D photo using depth estimation via Machine Learning using TensorFlow.js [3] in the browser With advances in machine learning and computer vision, [ 3 ] it is now also possible to recreate this effect using a single monocular image as an input.

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