• In computer vision, the fundamental matrix F {\displaystyle \mathbf {F} } is a 3×3 matrix which relates corresponding points in stereo images. In epipolar...
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  • Thumbnail for Homography (computer vision)
    transformation Epipolar geometry Feature (computer vision) Fundamental matrix (computer vision) Pose (computer vision) Photogrammetry O. Chum and T. Pajdla...
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  • Fundamental matrix may refer to: Fundamental matrix (computer vision) Fundamental matrix (linear differential equation) Fundamental matrix (absorbing Markov...
    207 bytes (51 words) - 15:25, 27 February 2022
  • Thumbnail for List of named matrices
    matrix — a matrix describing the statistical state of a quantum system. Hermitian, non-negative and with trace 1. Fundamental matrix (computer vision)...
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  • Thumbnail for Linear algebra
    that underlies the Fourier transform and related methods. Fundamental matrix (computer vision) Geometric algebra Linear programming Linear regression,...
    67 KB (7,983 words) - 15:25, 18 April 2025
  • Thumbnail for Matrix (mathematics)
    a square matrix is a number associated with the matrix, which is fundamental for the study of a square matrix; for example, a square matrix is invertible...
    108 KB (13,501 words) - 21:01, 14 April 2025
  • Thumbnail for Machine vision
    systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in...
    27 KB (2,852 words) - 09:20, 22 August 2024
  • In computer vision, the essential matrix is a 3 × 3 {\displaystyle 3\times 3} matrix, E {\displaystyle \mathbf {E} } that relates corresponding points...
    20 KB (3,215 words) - 03:28, 27 December 2024
  • Eight-point algorithm (category Geometry in computer vision)
    eight-point algorithm is an algorithm used in computer vision to estimate the essential matrix or the fundamental matrix related to a stereo camera pair from a...
    17 KB (3,016 words) - 23:27, 22 March 2024
  • Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data...
    67 KB (7,695 words) - 20:35, 29 April 2025
  • overview of and topical guide to computer vision: Computer vision – interdisciplinary field that deals with how computers can be made to gain high-level...
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  • approximation. The Hessian matrix is commonly used for expressing image processing operators in image processing and computer vision (see the Laplacian of...
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  • 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...
    15 KB (2,384 words) - 20:53, 19 August 2024
  • is a fundamental problem in computer vision — influential computer vision researcher Takeo Kanade famously once said that the three fundamental problems...
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  • Data type Associative array and Hash table Array List Tree String Matrix (computer science) Database Imperative programming/Procedural programming Functional...
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  • Thumbnail for Computer graphics (computer science)
    Computational topology Computer vision Image processing Information visualization Scientific visualization Applications of computer graphics include: Print...
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  • Thumbnail for Computer algebra
    delayed evaluation is fundamental in computer algebra. For example, the operator "=" of the equations is also, in most computer algebra systems, the name...
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  • Harris corner detector (category Computer vision)
    corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was...
    13 KB (1,713 words) - 12:00, 28 February 2025
  • Thumbnail for Homogeneous coordinates
    projective transformations to be easily represented by a matrix. They are also used in fundamental elliptic curve cryptography algorithms. If homogeneous...
    26 KB (3,958 words) - 13:54, 19 November 2024
  • Thumbnail for 3D reconstruction from multiple images
    3D reconstruction from multiple images (category Computer vision)
    International Journal of Computer Vision, 4(3):225-246, June 1990. R. I. Hartley. Kruppa's equations derived from the fundamental matrix Archived 2018-06-22...
    22 KB (2,997 words) - 14:37, 30 March 2025
  • Thumbnail for Principal curvature
    fashion. The principal curvatures are the eigenvalues of the matrix of the second fundamental form I I ( X i , X j ) {\displaystyle I\!I(X_{i},X_{j})} in...
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  • Thumbnail for Quaternion
    three-dimensional rotations, such as in three-dimensional computer graphics, computer vision, robotics, magnetic resonance imaging and crystallographic...
    96 KB (12,648 words) - 00:37, 2 May 2025
  • Thumbnail for Image rectification
    Image rectification (category Geometry in computer vision)
    transforming images to the common plane. Image rectification is used in computer stereo vision to simplify the problem of finding matching points between images...
    17 KB (1,765 words) - 14:28, 12 December 2024
  • and number theory An entry, or element, of a matrix Classical elements, ancient beliefs about the fundamental types of matter (earth, air, fire, water) The...
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  • Thumbnail for Epipolar geometry
    Epipolar geometry (category Geometry in computer vision)
    constraints can also be described by the fundamental matrix, or in the case of normalized image coordinates, the essential matrix between the two cameras. If the...
    10 KB (1,152 words) - 19:24, 16 April 2025
  • Thumbnail for Viewing frustum
    vision, which is the adaptation of (idealized) cone of vision that a camera or eye would have to the rectangular viewports typically used in computer...
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  • Thumbnail for Raster graphics
    Raster graphics (category Computer graphics data structures)
    In computer graphics and digital photography, a raster graphic represents a two-dimensional picture as a rectangular matrix or grid of pixels, viewable...
    19 KB (2,261 words) - 09:33, 25 March 2025
  • Stockman (2001). Computer Vision. Upper Saddle River, NJ: Prentice Hall. ISBN 978-0-13-030796-5. Eidenberger, Horst (2011). "Fundamental Media Understanding"...
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  • Camera resectioning (category Geometry in computer vision)
    Moving Camera from Point Correspondences and Fundamental Matrices". International Journal of Computer Vision. 22 (3): 261–289. doi:10.1023/A:1007982716991...
    15 KB (2,251 words) - 22:57, 23 November 2024
  • (2014). "The Optical Mouse: Early Biomimetic Embedded Vision". Advances in Embedded Computer Vision. Springer. pp. 3–22 (3). ISBN 9783319093871. Lyon, Richard...
    50 KB (5,364 words) - 05:17, 23 April 2025