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vector histogram

См. также в других словарях:

  • Histogram of oriented gradients — Histogram of Oriented Gradient descriptors, or HOG descriptors, are feature descriptors used in computer vision and image processing for the purpose of object detection. The technique counts occurrences of gradient orientation in localized… …   Wikipedia

  • Vector Field Histogram — In robotics, Vector Field Histogram (VFH) is a real time motion planning algorithm proposed by Johann Borenstein and Yoram Koren in 1991.cite journal author = Borenstein, J. coauthors = Koren, Y. year = 1991 title = The vector field histogram… …   Wikipedia

  • Color histogram — Not to be confused with Image histogram. In image processing and photography, a color histogram is a representation of the distribution of colors in an image. For digital images, a color histogram represents the number of pixels that have colors… …   Wikipedia

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

  • Image editing — For the uses, cultural impact, and ethical concerns of image editing, see Photo manipulation. For the process of culling and archiving images, see Digital asset management. A colorized version of originally black and white photo, colorized using… …   Wikipedia

  • Machine vision glossary — Common definitions related to the machine vision field.Compiled for application on the Society of Manufacturing Engineers interest area.General related fields *Machine vision *Computer vision *Image processing *Signal processing NOTOC 0 9*1394.… …   Wikipedia

  • Bag of words model in computer vision — This is an article introducing the Bag of words model (BoW) in computer vision, especially for object categorization. From now, the BoW model refers to the BoW model in computer vision unless explicitly declared.Before introducing the BoW model,… …   Wikipedia

  • Multivariate kernel density estimation — Kernel density estimation is a nonparametric technique for density estimation i.e., estimation of probability density functions, which is one of the fundamental questions in statistics. It can be viewed as a generalisation of histogram density… …   Wikipedia

  • Central limit theorem — This figure demonstrates the central limit theorem. The sample means are generated using a random number generator, which draws numbers between 1 and 100 from a uniform probability distribution. It illustrates that increasing sample sizes result… …   Wikipedia

  • Object recognition — in computer vision is a task of finding given object in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the objects may vary somewhat in different view points,… …   Wikipedia

  • Density of states — Condensed matter physics Phases · Phase tr …   Wikipedia

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