Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Pose Estimation Through Cue Integration: A Neuroscience-Inspired ApproachDate
2012Publisher
IEEEISSN
1083-4419Bibliographic citation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , 42, 2, p. 530-538Type
info:eu-repo/semantics/articlePublisher version
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6056576Subject
Abstract
Primates possess a superior ability in dealing with objects in their environment. One of the keys for achieving such ability is the continuous concurrent use of multiple cues, especially of visual nature. This work ... [+]
Primates possess a superior ability in dealing with objects in their environment. One of the keys for achieving such ability is the continuous concurrent use of multiple cues, especially of visual nature. This work is aimed at improving the skills of robotic systems in their interaction with nearby objects. The basic idea is to improve visual estimation of objects in the world through the merging of different visual cues of the same stimuli. A computational model of stereoptic and perspective orientation estimators, merged according to different criteria, is implemented on a robotic setup and tested in different conditions. Experimental results suggest that the integration of monocular and binocular cues can make robot sensory systems more reliable and versatile. [-]
Rights
(c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
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- ICC_Articles [413]