local smoothing
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Local regression — LOESS, or locally weighted scatterplot smoothing, is one of many modern modeling methods that build on classical methods, such as linear and nonlinear least squares regression. Modern regression methods are designed to address situations in which … Wikipedia
Smoothing — In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine scale structures/rapid phenomena. Many different… … Wikipedia
Savitzky–Golay smoothing filter — The Savitzky–Golay smoothing filter is a type of filter first described in 1964 by Abraham Savitzky and Marcel J. E. Golay. [A. Savitzky and Marcel J.E. Golay (1964). Smoothing and Differentiation of Data by Simplified Least Squares Procedures .… … Wikipedia
Laplacian smoothing — is an algorithm to smooth a polygonal mesh. For each vertex in a mesh, a new position is chosen based on local information (such as the position of neighbors) and the vertex is moved there. In the case that a mesh is topologically a rectangular… … Wikipedia
Callisto (moon) — Callisto View of the heavily cratered terrain of Callisto s anti Jovian hemisphere obtained in 2001 by NASA s Galileo spacecraft. The large impact structure Asgard is on the limb at upper right. The prominent rayed crater below and just right of… … Wikipedia
Herbert Koch (Mathematiker) — Herbert Koch ist ein deutscher Mathematiker mit dem Spezialgebiet partielle Differentialgleichungen. Koch ist Professor für Analysis und partielle Differentialgleichungen am mathematischen Institut der Universität Bonn. Seine Habilitationsschrift … Deutsch Wikipedia
Approximation sigma — En mathématiques, l’approximation sigma, imaginée par Cornelius Lanczos, est une méthode de fenêtrage qui permet d ajuster une série de Fourier pour éliminer le phénomène de Gibbs qui pourrait survenir aux discontinuités. Principe Une… … Wikipédia en Français
Scale space — theory is a framework for multi scale signal representation developed by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a formal theory for handling … Wikipedia
Scale space implementation — Scale space Scale space axioms Scale space implementation Feature detection Edge detection Blob detection Corner detection … Wikipedia
Edge detection — is a terminology in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a digital image at which the image brightness changes… … Wikipedia
Corner detection — Feature detection Output of a typical corner detection algorithm … Wikipedia
