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A Unified Approach for Registration and Depth in Depth from Defocus

contributor authorBen-Ari, Rami
date accessioned2020-03-12T18:39:00Z
date available2020-03-12T18:39:00Z
date issued2014
identifier issn0162-8828
identifier other6702415.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/965595?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Unified Approach for Registration and Depth in Depth from Defocus
typeJournal Paper
contenttypeMetadata Only
identifier padid7999281
subject keywordsNewton-Raphson method
subject keywordsimage reconstruction
subject keywordsimage registration
subject keywordsDFD
subject keywordsGPU computing
subject keywordsNewton-Raphson method
subject keywordsassociated numerical scheme
subject keywordsdepth estimation
subject keywordsdepth from defocus
subject keywordsenergy minimization
subject keywordslinear system
subject keywordsproof of convergence
subject keywordsscene shape recovery
subject keywordsshape reconstruction
subject keywordsshift-variant defocus
subject keywordsstandard registration techniques
subject keywordsAdaptive optics
subject keywordsEstimation
subject keywordsOptical imaging
subject keywordsShape
subject keywordsStandards
subject keywordsStereo vision
subject keywordsThree-dimensional displays
subject keywords3D reconstruction
subject keywordsDepth cues
subject keywordsGPU computing
subject keywordsImage Process
identifier doi10.1109/TPAMI.2014.14
journal titlePattern Analysis and Machine Intelligence, IEEE Transactions on
journal volume36
journal issue6
filesize2322730
citations0


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