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  2. 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 ...

  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. 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 ...

  5. Random sample consensus - Wikipedia

    en.wikipedia.org/wiki/Random_sample_consensus

    A simple example is fitting a line in two dimensions to a set of observations. Assuming that this set contains both inliers, i.e., points which approximately can be fitted to a line, and outliers, points which cannot be fitted to this line, a simple least squares method for line fitting will generally produce a line with a bad fit to the data including inliers and outliers.

  6. Circle Hough Transform - Wikipedia

    en.wikipedia.org/wiki/Circle_Hough_Transform

    The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix. It is a specialization of the Hough transform.

  7. Fourth Family Member Charged After Boy, 7, Died of ‘Severe ...

    www.aol.com/fourth-family-member-charged-boy...

    Another family member has been charged in connection to the death of 7-year-old Deonte Atwell, who was found dead on Christmas Day last year due to severe malnutrition.. Jeremy Graham was arrested ...

  8. NFL hot seat rankings: Which coaches are in most trouble ...

    www.aol.com/nfl-hot-seat-rankings-coaches...

    Several coaches are squarely on the NFL hot seat entering Week 18, with Mike McCarthy and Brian Daboll among those facing uncertain futures.

  9. Spatial verification - Wikipedia

    en.wikipedia.org/wiki/Spatial_verification

    The goal is to keep the model with the highest number of matches and the main problem is the number of times you have to repeat the process to obtain the best estimate of the model. RANSAC set in advance the number of iterations of the algorithm. To specify scenes or objects, is commonly used affine transformations to perform the spatial ...