A MultiScale Particle Filter Framework for Contour Detection
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سال
: 2014شناسه الکترونیک: 10.1109/TPAMI.2014.2307856
کلیدواژه(گان): Bayes methods,Monte Carlo methods,image texture,particle filtering (numerical methods),Berkeley segmentation data sets,approximated trajectory distribution,color information,complex natural images,gradient information,interactive cut-out task,learned offline,likelihood functions,local gradient-based features,multiscale edgelet structure,multiscale particle filter framework,oriented gradient-based features,profile gradient-based features,recursive Bayesian modeling,semilocal inf
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A MultiScale Particle Filter Framework for Contour Detection
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contributor author | Widynski, Nicolas | |
contributor author | Mignotte, Max | |
date accessioned | 2020-03-12T23:48:23Z | |
date available | 2020-03-12T23:48:23Z | |
date issued | 2014 | |
identifier issn | 0162-8828 | |
identifier other | 6747361.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1123998 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A MultiScale Particle Filter Framework for Contour Detection | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8303513 | |
subject keywords | Bayes methods | |
subject keywords | Monte Carlo methods | |
subject keywords | image texture | |
subject keywords | particle filtering (numerical methods) | |
subject keywords | Berkeley segmentation data sets | |
subject keywords | approximated trajectory distribution | |
subject keywords | color information | |
subject keywords | complex natural images | |
subject keywords | gradient information | |
subject keywords | interactive cut-out task | |
subject keywords | learned offline | |
subject keywords | likelihood functions | |
subject keywords | local gradient-based features | |
subject keywords | multiscale edgelet structure | |
subject keywords | multiscale particle filter framework | |
subject keywords | oriented gradient-based features | |
subject keywords | profile gradient-based features | |
subject keywords | recursive Bayesian modeling | |
subject keywords | semilocal inf | |
identifier doi | 10.1109/TPAMI.2014.2307856 | |
journal title | Pattern Analysis and Machine Intelligence, IEEE Transactions on | |
journal volume | 36 | |
journal issue | 10 | |
filesize | 2116888 | |
citations | 0 |