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A robust active shape model using an expectation-maximization framework

contributor authorSantiago, Carlos
contributor authorNascimento, Jacinto C.
contributor authorMarques, Jorge S.
date accessioned2020-03-12T22:51:11Z
date available2020-03-12T22:51:11Z
date issued2014
identifier other7026226.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1096813?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA robust active shape model using an expectation-maximization framework
typeConference Paper
contenttypeMetadata Only
identifier padid8237428
subject keywordsSLAM (robots)
subject keywordsn autonomous aerial vehicles
subject keywordsn feature extraction
subject keywordsn microrobots
subject keywordsn mobile robots
subject keywordsn path planning
subject keywordsn robot vision
subject keywordsn MAV
subject keywordsn feature-rich path planning
subject keywordsn information richness
subject keywordsn micro aerial vehicles
subject keywordsn robust navigation
subject keywordsn vision-only monoSLAM
subject keywordsn visual contact
subject keywordsn visual feature distribution
subject keywordsn Cameras
subject keywordsn Feature extraction
subject keywordsn Navigation
subject keywordsn Planning
subject keywordsn Simultaneous localization and mapping
subject keywordsn Three-dimensional displays
subject keywordsn Visualization
identifier doi10.1109/ICRA.2014.6907420
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize669293
citations0


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