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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. 2D-plus-depth - Wikipedia

    en.wikipedia.org/wiki/2D-plus-depth

    Philips developed a 3D content creation software suite named BlueBox [14] which includes semi-automated conversion of 2D content into 2D-plus-Depth format and automatic generation of 2D-plus-Depth from stereo. A similar semiautomatic approach to high quality 2D to 2D-plus-Depth conversion is implemented in YUVsoft's 2D to 3D Suite, available as ...

  4. Stereoscopic video coding - Wikipedia

    en.wikipedia.org/wiki/Stereoscopic_Video_Coding

    3D video coding is one of the processing stages required to manifest stereoscopic content into a home. There are three techniques which are used to achieve stereoscopic video: [1] Color shifting ; Pixel subsampling (side-by-side, checkerboard, quincunx) Enhanced video stream coding (2D+Delta, 2D+Metadata, 2D plus depth)

  5. 3D stereo view - Wikipedia

    en.wikipedia.org/wiki/3D_stereo_view

    A 3D or 3-D (three-dimensional) film or S3D (stereoscopic 3D) film [5] is a motion picture that enhances the depth cues seen by the viewer. The most common approach to the production of 3D films is derived from stereoscopic photography.

  6. Active shutter 3D system - Wikipedia

    en.wikipedia.org/wiki/Active_shutter_3D_system

    An active shutter 3D system (a.k.a. alternate frame sequencing, alternate image, AI, alternating field, field sequential or eclipse method) is a technique for displaying stereoscopic 3D images. It works by only presenting the image intended for the left eye while blocking the right eye's view, then presenting the right-eye image while blocking ...

  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.

  8. Identity FX - Wikipedia

    en.wikipedia.org/wiki/Identity_FX

    In 2010, Identity FX officially transitioned from Visual Effects into a Stereoscopic 3D studio, positioning itself as a top tier 2D to 3D conversion provider. [3] Upon the popularity of stereo 3D conversion in recent years, Identity FX had invested significantly in the expertise to develop and manage the 2D-to-3D conversion process. [4]

  9. Computer stereo vision - Wikipedia

    en.wikipedia.org/wiki/Computer_stereo_vision

    Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels.