DocumentCode :
977427
Title :
Uncertainty in object pose determination with three light-stripe range measurements
Author :
Kemmotsu, Keiichi ; Kanade, Takeo
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
11
Issue :
5
fYear :
1995
fDate :
10/1/1995 12:00:00 AM
Firstpage :
741
Lastpage :
747
Abstract :
The pose (position and orientation) of a polyhedral object can be determined by using a set of simple light-stripe range sensors. Data from these sensors, however, inherently contains errors which result in pose uncertainty. Therefore, in addition to calculating the pose itself, it is often desirable to estimate how certain the pose determination is. This paper presents a method for estimating the uncertainty in determining the pose of an arbitrarily positioned object with three light-stripe range finders. We analyze the perturbation of a least squares fit of sensed 3D segments to object faces, and obtain a relationship between the sensing error and the object pose error. Experiments demonstrate that the method provides the estimate of accuracy in pose determination
Keywords :
computational geometry; computer vision; covariance matrices; curve fitting; estimation theory; least squares approximations; object recognition; stereo image processing; covariance matrix; least squares fit; light-stripe range measurements; object pose determination; object pose error; orientation; perturbation; polyhedral object; pose uncertainty estimation; Computer errors; Computer science; Covariance matrix; Image recognition; Layout; Least squares methods; Object recognition; Position measurement; Solid modeling; Uncertainty;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.466610
Filename :
466610
Link To Document :
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