shape invariant

shape invariant
Математика: шейповый инвариант

Универсальный англо-русский словарь. . 2011.

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  • Shape context — is the term given by Serge Belongie and Jitendra Malik to the feature descriptor they first proposed in their paper Matching with Shape Contexts in 2000cite conference author = S. Belongie and J. Malik title = Matching with Shape Contexts url =… …   Wikipedia

  • Shape analysis — This article describes shape analysis to analyze and process geometric shapes. The shape analysis described here is related to the statistical analysis of geometric shapes, to shape matching and shape recognition. It applies purely to the… …   Wikipedia

  • Shape — The shape (OE. sceap Eng. created thing ) of an object located in some space refers to the part of space occupied by the object as determined by its external boundary abstracting from other aspects the object may have such as its colour, content …   Wikipedia

  • Shape context — Construction d un contexte de contour. Shape context, que l on peut traduire par contexte de contour, est un algorithme de détection de caractéristique et un descripteur, présenté par des chercheurs de l université de Californie à Berkeley pour… …   Wikipédia en Français

  • Affine shape adaptation — is a methodology for iteratively adapting the shape of the smoothing kernels in an affine group of smoothing kernels to the local image structure in neighbourhood region of a specific image point. Equivalently, affine shape adaptation can be… …   Wikipedia

  • Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm …   Wikipedia

  • Scale-invariant feature transform — Exemple de résultat de la comparaison de deux images par la méthode SIFT (Fantasia ou Jeu de la poudre, devant la porte d’entrée de la ville de Méquinez, par Eug …   Wikipédia en Français

  • Supersymmetric quantum mechanics — In theoretical physics, supersymmetric quantum mechanics is an area of research where mathematical concepts from high energy physics are applied to the seemingly more prosaic field of quantum mechanics. IntroductionUnderstanding the consequences… …   Wikipedia

  • Harris affine region detector — In the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection. Feature detection is a preprocessing step of several algorithms that rely on identifying characteristic points or …   Wikipedia

  • Differential geometry of surfaces — Carl Friedrich Gauss in 1828 In mathematics, the differential geometry of surfaces deals with smooth surfaces with various additional structures, most often, a Riemannian metric. Surfaces have been extensively studied from various perspectives:… …   Wikipedia

  • 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


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