DocumentCode :
3207455
Title :
Uncertain views
Author :
Whaite, Peter ; Ferrie, Frank P.
Author_Institution :
McGill Res. Center for Intelligent Machines, McGill Univ., Montreal, Que., Canada
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
3
Lastpage :
9
Abstract :
The possibility that what we do not know about the world can be used to guide the way in which they explore it is raised. The authors previously hypothesized that the spatial structure of uncertainty can be used to guide the acquisition of additional data in a way that significantly improves knowledge of a scene. An exploration strategy based on the hypothesis is constructed, and experimental results which verified that it works are presented. Conditions which cause it to break down are studied. The results indicate that there are inherent degeneracies in certain data configurations, but that the authors´ strategy can navigate these areas successfully
Keywords :
image recognition; uncertainty handling; data configurations; degeneracies; exploration strategy; improvement hypothesis; sampled prediction error; spatial structure; superellipsoid models; surface predictors; wooden mannequin image; Coordinate measuring machines; Equations; Laser modes; Layout; Machine intelligence; Maximum likelihood estimation; Navigation; Rotation measurement; Shape control; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223235
Filename :
223235
Link To Document :
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