Estimating targets using statistical properties of observations of know targets

A method for estimating scenes from images generates a plurality of scenes and renders an image for each scene. The scenes and corresponding images are partitioned into patches. Each patch is quantitized as a vector and probability density function is fitted to each vector. The patches and probabili...

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Hauptverfasser: PASZTOR, EGON C, FREEMAN, WILLIAM T
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Sprache:eng ; fre ; ger
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creator PASZTOR, EGON C
FREEMAN, WILLIAM T
description A method for estimating scenes from images generates a plurality of scenes and renders an image for each scene. The scenes and corresponding images are partitioned into patches. Each patch is quantitized as a vector and probability density function is fitted to each vector. The patches and probabilities are organized as a Markov network where local probability information is propagated to neighboring nodes. After propagation, the probability densities at each node is used to estimate the scene.
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language eng ; fre ; ger
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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Estimating targets using statistical properties of observations of know targets
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