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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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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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. 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After propagation, the probability densities at each node is used to estimate the scene.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2000</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPB3LS7JzE0sycxLVyhJLEpPLSlWKC0G8YpLgKJAyeTEHIWCovyC1KKSzNRihfw0hfyk4tSiMqBsfh6Yn52XXw7TzMPAmpaYU5zKC6W5GRTcXEOcPXRTC_LjU4sLEpNT81JL4l0DDA2MzMyMTRyNjIlQAgB5ODeV</recordid><startdate>20000809</startdate><enddate>20000809</enddate><creator>PASZTOR, EGON C</creator><creator>FREEMAN, WILLIAM T</creator><scope>EVB</scope></search><sort><creationdate>20000809</creationdate><title>Estimating targets using statistical properties of observations of know targets</title><author>PASZTOR, EGON C ; FREEMAN, WILLIAM T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP1026634A23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2000</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>PASZTOR, EGON C</creatorcontrib><creatorcontrib>FREEMAN, WILLIAM T</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PASZTOR, EGON C</au><au>FREEMAN, WILLIAM T</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Estimating targets using statistical properties of observations of know targets</title><date>2000-08-09</date><risdate>2000</risdate><abstract>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.</abstract><edition>7</edition><oa>free_for_read</oa></addata></record> |
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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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