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iterative estimation

См. также в других словарях:

  • Iterative Closest Point — (ICP) is an algorithm employed to match two clouds of points. This matching is used to reconstruct 3D surfaces from different scans, to localize robots and achieve optimal path planning (especially when wheel odometry is unreliable due to… …   Wikipedia

  • Iterative proportional fitting — The iterative proportional fitting procedure (IPFP, also known as biproportional fitting in statistics, RAS algorithm[1] in economics and matrix raking or matrix scaling in computer science) is an iterative algorithm for estimating cell values of …   Wikipedia

  • Iterative Closest Point — L Iterative Closest Point (ICP) est un algorithme utilisé pour minimiser les différences entre deux nuages de points. L ICP est souvent utilisée pour reconstruire des surfaces/modèles 2D ou 3D à partir des différents balayages, de localiser et de …   Wikipédia en Français

  • Triangulation (computer vision) — In computer vision triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to solve this problem it is necessary to know the parameters of the camera projection function… …   Wikipedia

  • Methods of computing square roots — There are several methods for calculating the principal square root of a nonnegative real number. For the square roots of a negative or complex number, see below. Contents 1 Rough estimation 2 Babylonian method 2.1 Example …   Wikipedia

  • Mixture model — See also: Mixture distribution In statistics, a mixture model is a probabilistic model for representing the presence of sub populations within an overall population, without requiring that an observed data set should identify the sub population… …   Wikipedia

  • VOptimal Histograms — Histograms are most commonly used as visual representations of data. However, database systems use histograms to summarize data internally and provide size estimates for queries. These histograms are not presented to users or displayed visually,… …   Wikipedia

  • Optimal design — This article is about the topic in the design of experiments. For the topic in optimal control theory, see shape optimization. Gustav Elfving developed the optimal design of experiments, and so minimized surveyors need for theodolite measurements …   Wikipedia

  • Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …   Wikipedia

  • Least squares — The method of least squares is a standard approach to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. Least squares means that the overall solution minimizes the sum of… …   Wikipedia

  • Lucas–Kanade method — In computer vision, the Lucas–Kanade method is a two frame differential method for optical flow estimation developed by Bruce D. Lucas and Takeo KanadeOptical flow algorithms estimate the deformations between two image frames. The basic… …   Wikipedia

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