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vision algorithm

См. также в других словарях:

  • Condensation algorithm — The condensation algorithm (Conditional Density Propagation) is a computer vision algorithm. The principal application is to detect and track the contour of objects moving in a cluttered environment. Object tracking is one of the more basic and… …   Wikipedia

  • Feature (computer vision) — In computer vision and image processing the concept of feature is used to denote a piece of information which is relevant for solving the computational task related to a certain application. More specifically, features can refer to* the result of …   Wikipedia

  • Feature detection (computer vision) — In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type… …   Wikipedia

  • K-means algorithm — The k means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural… …   Wikipedia

  • Bees algorithm — The Bees Algorithm is a population based search algorithm first developed in 2005. [Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S and Zaidi M. The Bees Algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK, 2005]… …   Wikipedia

  • Eight-point algorithm — The eight point algorithm is an algorithm used in computer vision to estimate the essential matrix or the fundamental matrix related to a stereo camera pair from a set of corresponding image points. It was introduced by Christopher Longuet… …   Wikipedia

  • k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… …   Wikipedia

  • Object recognition (computer vision) — Feature detection Output of a typical corner detection algorithm …   Wikipedia

  • Expectation-maximization algorithm — An expectation maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. EM alternates between performing an… …   Wikipedia

  • K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… …   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

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