- scale-invariant
- мат. масштабно-инвариантный
Большой англо-русский и русско-английский словарь. 2001.
Большой англо-русский и русско-английский словарь. 2001.
Scale-invariant feature transform — (engl., „skaleninvariante Merkmalstransformation“, kurz SIFT) ist ein Algorithmus zur Extraktion lokaler Bildmerkmale aus Abbildungen. Er kann vor allem bei der Bilderkennung verwendet werden. Er wurde von David G. Lowe an der University of… … Deutsch 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
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
Scale invariance — In physics and mathematics, scale invariance is a feature of objects or laws that do not change if length scales (or energy scales) are multiplied by a common factor. The technical term for this transformation is a dilatation (also known as… … Wikipedia
Scale-space axioms — In image processing and computer vision, a scale space framework can be used to represent an image as a family of gradually smoothed images. This framework is very general and a variety of scale space representations has been described in the… … Wikipedia
scale invariance — noun a feature of objects or laws that do not change if length scales (or energy scales) are multiplied by a common factor. See Also: scale invariant … Wiktionary
Scale relativity — is a theory of physics initially developed by Laurent Nottale, working at the French observatory of Meudon, near Paris, which extends special and general relativity with a new formulation of scale invariance preserving a reference length,… … Wikipedia
Invariant estimator — In statistics, the concept of being an invariant estimator is a criterion that can be used to compare the properties of different estimators for the same quantity. It is a way of formalising the idea that an estimator should have certain… … Wikipedia
Scale parameter — In probability theory and statistics, a scale parameter is a special kind of numerical parameter of a parametric family of probability distributions. The larger the scale parameter, the more spread out the distribution.DefinitionIf a family of… … Wikipedia