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