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  2. Triangulation (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Triangulation_(computer...

    In computer vision, triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to solve this problem it is necessary to know the parameters of the camera projection function from 3D to 2D for the cameras involved, in the simplest case represented by the camera matrices .

  3. Structure from motion - Wikipedia

    en.wikipedia.org/wiki/Structure_from_motion

    Structure from motion (SfM) [1] is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. It is studied in the fields of computer vision and visual perception.

  4. 3D reconstruction from multiple images - Wikipedia

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

    Given a group of 3D points viewed by N cameras with matrices {} = …, define to be the homogeneous coordinates of the projection of the point onto the camera. The reconstruction problem can be changed to: given the group of pixel coordinates {}, find the corresponding set of camera matrices {} and the scene structure {} such that

  5. 3D reconstruction - Wikipedia

    en.wikipedia.org/wiki/3D_reconstruction

    3D reconstruction of the general anatomy of the right side view of a small marine slug Pseudunela viatoris.. In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects.

  6. Correspondence problem - Wikipedia

    en.wikipedia.org/wiki/Correspondence_problem

    Correspondence is a fundamental problem in computer vision — influential computer vision researcher Takeo Kanade famously once said that the three fundamental problems of computer vision are: “Correspondence, correspondence, and correspondence!” [2] Indeed, correspondence is arguably the key building block in many related applications ...

  7. Bundle adjustment - Wikipedia

    en.wikipedia.org/wiki/Bundle_adjustment

    In photogrammetry and computer stereo vision, bundle adjustment is simultaneous refining of the 3D coordinates describing the scene geometry, the parameters of the relative motion, and the optical characteristics of the camera(s) employed to acquire the images, given a set of images depicting a number of 3D points from different viewpoints.

  8. 4D reconstruction - Wikipedia

    en.wikipedia.org/wiki/4D_reconstruction

    Achievements of this technique include real-time rendering on dynamic scenes with high resolutions, while maintaining quality. It showcases potential applications for future developments in film and other media, although there are current limitations regarding the length of motion captured. [7]

  9. Kinetic depth effect - Wikipedia

    en.wikipedia.org/wiki/Kinetic_depth_effect

    The kinetic depth effect can manifest independently, however, even when motion parallax is not present. An example of such a situation is the art installment "The Analysis of Beauty", [ 7 ] by the Disinformation project, created as a tribute to William Hogarth 's concept of the Serpentine Line (which was presented in his homonymous book ).