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  2. Form perception - Wikipedia

    en.wikipedia.org/wiki/Form_perception

    Form perception is the recognition of visual elements of objects, specifically those to do with shapes, patterns and previously identified important characteristics. An object is perceived by the retina as a two-dimensional image, [1] but the image can vary for the same object in terms of the context with which it is viewed, the apparent size of the object, the angle from which it is viewed ...

  3. Lists of shapes - Wikipedia

    en.wikipedia.org/wiki/Lists_of_shapes

    Lists of shapes cover different types of geometric shape and related topics. They include mathematics topics and other lists of shapes, such as shapes used by drawing ...

  4. Pattern Blocks - Wikipedia

    en.wikipedia.org/wiki/Pattern_blocks

    A number of compatible shapes that extend pattern blocks are commercially available. Two sets of "Fractional Pattern Blocks" exist: both with two blocks. [7] The first has a pink double hexagon and a black chevron equivalent to four triangles. The second has a brown half-trapezoid and a pink half-triangle.

  5. Generalised Hough transform - Wikipedia

    en.wikipedia.org/wiki/Generalised_Hough_transform

    To generalize the Hough algorithm to non-analytic curves, Ballard defines the following parameters for a generalized shape: a={y,s,θ} where y is a reference origin for the shape, θ is its orientation, and s = (s x, s y) describes two orthogonal scale factors. An algorithm can compute the best set of parameters for a given shape from edge ...

  6. Geometric feature learning - Wikipedia

    en.wikipedia.org/wiki/Geometric_feature_learning

    Geometric feature learning is a technique combining machine learning and computer vision to solve visual tasks. The main goal of this method is to find a set of representative features of geometric form to represent an object by collecting geometric features from images and learning them using efficient machine learning methods.

  7. Shape context - Wikipedia

    en.wikipedia.org/wiki/Shape_context

    The shape context is intended to be a way of describing shapes that allows for measuring shape similarity and the recovering of point correspondences. [1] The basic idea is to pick n points on the contours of a shape. For each point p i on the shape, consider the n − 1 vectors obtained by connecting p i to all other points. The set of all ...

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