- shape adaptation
- Майкрософт: обучение алгоритма распознавания
Универсальный англо-русский словарь. Академик.ру. 2011.
shape adaptation
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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
Adaptation — This article is about the evolutionary process. For other uses, see Adaptation (disambiguation). Part of a series on Evolutionary Biology … Wikipedia
Neural adaptation — or sensory adaptation is a change over time in the responsiveness of the sensory system to a constant stimulus. It is usually experienced as a change in the stimulus. For example, if one rests one s hand on a table, one immediately feels the… … Wikipedia
H. G. Wells' The Shape of Things to Come — is a Canadian science fiction motion picture first released in May 1979.Infobox Film name = H. G. Wells The Shape of Things to Come image size = 250px caption = Beyond the earth... Beyond the moon... Beyond your wildest imagination! director =… … Wikipedia
Cellular adaptation — In cell biology and pathophysiology, Cellular adaptation refers to changes made by a cell in response to adverse environmental changes. [Huether, S. E. McCance, K. L. (2008). Understanding Pathophysiology , Ed 4, p. 62 65.] The adaptation may be… … Wikipedia
Antipredator adaptation — A lone bison is standing its ground against a pack of wolves, thereby increasing its chance of survival Antipredator adaptations are evolutionary adaptations developed over time, which assist prey organisms in their constant struggle against… … 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
Corner detection — Feature detection Output of a typical corner detection algorithm … 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
Blob detection — Feature detection Output of a typical corner detection algorithm … Wikipedia
Structure tensor — Structure tensors (or second moment matrices) are matrix representations of partial derivatives. In the field of image processing and computer vision, they are typically used to represent gradients, edges or similar information. Structure tensors … Wikipedia
