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  2. Generalised Hough transform - Wikipedia

    en.wikipedia.org/wiki/Generalised_Hough_transform

    The generalized Hough transform (GHT), introduced by Dana H. Ballard in 1981, is the modification of the Hough transform using the principle of template matching. [1] The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.).

  3. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    The Hough transform as it is universally used today was invented by Richard Duda and Peter Hart in 1972, who called it a "generalized Hough transform" [3] after the related 1962 patent of Paul Hough. [ 4 ] [ 5 ] The transform was popularized in the computer vision community by Dana H. Ballard through a 1981 journal article titled " Generalizing ...

  4. Dana H. Ballard - Wikipedia

    en.wikipedia.org/wiki/Dana_H._Ballard

    He also popularized the use of the generalised hough transform in computer vision in his paper "Generalizing the Hough Transform to Detect Arbitrary Shapes." [3] He is also known as a proponent of active vision techniques for computer vision systems [4] as well as approaches to understanding human vision. [5]

  5. Line detection - Wikipedia

    en.wikipedia.org/wiki/Line_detection

    The Hough transform [3] can be used to detect lines and the output is a parametric description of the lines in an image, for example ρ = r cos(θ) + c sin(θ). [1] If there is a line in a row and column based image space, it can be defined ρ, the distance from the origin to the line along a perpendicular to the line, and θ, the angle of the perpendicular projection from the origin to the ...

  6. Randomized Hough transform - Wikipedia

    en.wikipedia.org/wiki/Randomized_Hough_Transform

    Hough transforms are techniques for object detection, a critical step in many implementations of computer vision, or data mining from images. Specifically, the Randomized Hough transform is a probabilistic variant to the classical Hough transform, and is commonly used to detect curves (straight line, circle, ellipse, etc.) [1] The basic idea of Hough transform (HT) is to implement a voting ...

  7. Template:Feature detection (computer vision) navbox - Wikipedia

    en.wikipedia.org/wiki/Template:Feature_detection...

    Generalized Hough transform; Structure tensor; Structure tensor; Generalized structure tensor; Affine invariant feature detection; Affine shape adaptation; Harris affine;

  8. 10 predictions for the space economy in 2025 - AOL

    www.aol.com/finance/10-predictions-space-economy...

    6. Incumbents adjust to the new world order. In 2025, Boeing and Airbus will sell off their space businesses after failing to keep up with the pace of change.These divestitures by entrenched ...

  9. Category:Feature detection (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Category:Feature_detection...

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