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A MultiScale Particle Filter Framework for Contour Detection

contributor authorWidynski, Nicolas
contributor authorMignotte, Max
date accessioned2020-03-12T23:48:23Z
date available2020-03-12T23:48:23Z
date issued2014
identifier issn0162-8828
identifier other6747361.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1123998?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA MultiScale Particle Filter Framework for Contour Detection
typeJournal Paper
contenttypeMetadata Only
identifier padid8303513
subject keywordsBayes methods
subject keywordsMonte Carlo methods
subject keywordsimage texture
subject keywordsparticle filtering (numerical methods)
subject keywordsBerkeley segmentation data sets
subject keywordsapproximated trajectory distribution
subject keywordscolor information
subject keywordscomplex natural images
subject keywordsgradient information
subject keywordsinteractive cut-out task
subject keywordslearned offline
subject keywordslikelihood functions
subject keywordslocal gradient-based features
subject keywordsmultiscale edgelet structure
subject keywordsmultiscale particle filter framework
subject keywordsoriented gradient-based features
subject keywordsprofile gradient-based features
subject keywordsrecursive Bayesian modeling
subject keywordssemilocal inf
identifier doi10.1109/TPAMI.2014.2307856
journal titlePattern Analysis and Machine Intelligence, IEEE Transactions on
journal volume36
journal issue10
filesize2116888
citations0


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