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Homography estimation using one ellipse correspondence and minimal additional information

Author:
Alvarez, Luis
,
Caselles, Vicent
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICRA.2014.6907173
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1096566
Keyword(s): end effectors,n force control,n inference mechanisms,n position control,n sensors,n torque control,n Staubli RX90 robot,n action selection,n belief-state reasoning,n constrained optimisation scheme,n curse-of-dimensionality,n force-torque sensor,n information gain,n motion-execution time,n robot programmer,n spherical end effector,n time constraints,n touch-based object localisation,n Decision making,n End effectors,n Force,n Robot s
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    Homography estimation using one ellipse correspondence and minimal additional information

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contributor authorAlvarez, Luis
contributor authorCaselles, Vicent
date accessioned2020-03-12T22:50:46Z
date available2020-03-12T22:50:46Z
date issued2014
identifier other7025981.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1096566
formatgeneral
languageEnglish
publisherIEEE
titleHomography estimation using one ellipse correspondence and minimal additional information
typeConference Paper
contenttypeMetadata Only
identifier padid8237129
subject keywordsend effectors
subject keywordsn force control
subject keywordsn inference mechanisms
subject keywordsn position control
subject keywordsn sensors
subject keywordsn torque control
subject keywordsn Staubli RX90 robot
subject keywordsn action selection
subject keywordsn belief-state reasoning
subject keywordsn constrained optimisation scheme
subject keywordsn curse-of-dimensionality
subject keywordsn force-torque sensor
subject keywordsn information gain
subject keywordsn motion-execution time
subject keywordsn robot programmer
subject keywordsn spherical end effector
subject keywordsn time constraints
subject keywordsn touch-based object localisation
subject keywordsn Decision making
subject keywordsn End effectors
subject keywordsn Force
subject keywordsn Robot s
identifier doi10.1109/ICRA.2014.6907173
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize1016344
citations0
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