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Materiality maps: A novel scene-based framework for direct multi-view stereovision reconstruction

contributor authorIsmael, Muhannad
contributor authorPrevost, Stephanie
contributor authorLoscos, Celine
contributor authorRemion, Yannick
date accessioned2020-03-12T22:50:58Z
date available2020-03-12T22:50:58Z
date issued2014
identifier other7026106.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1096691?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleMateriality maps: A novel scene-based framework for direct multi-view stereovision reconstruction
typeConference Paper
contenttypeMetadata Only
identifier padid8237279
subject keywordsfeature extraction
subject keywordsn image motion analysis
subject keywordsn image segmentation
subject keywordsn independent component analysis
subject keywordsn learning (artificial intelligence)
subject keywordsn neural nets
subject keywordsn object detection
subject keywordsn stereo image processing
subject keywordsn traffic engineering computing
subject keywordsn video signal processing
subject keywordsn 3D geometric constraints
subject keywordsn 3D geometric-based moving point detector
subject keywordsn 3D scene
subject keywordsn RICA autoencoders
subject keywordsn camera egomotion
subject keywordsn deep spatiotemporal feature learning
subject keywordsn geometric-based moving point detection
identifier doi10.1109/ICRA.2014.6907299
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize257169
citations0


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