Pose estimation by fusing noisy data of different dimensions
Hel-Or, Y.
Werman, M.
Inst. of Comput. Sci., Hebrew Univ., Jerusalem ;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Feb 1995
Volume: 17,
Issue: 2
On page(s): 195-201
ISSN: 0162-8828
References Cited: 21
CODEN: ITPIDJ
INSPEC Accession Number: 4887742
Digital Object Identifier: 10.1109/34.368169
Current Version Published: 2002-08-06
Abstract
A method for fusing and integrating different 2D and 3D
measurements for pose estimation is proposed. The 2D measured data is
viewed as 3D data with infinite uncertainty in particular directions.
The method is implemented using Kalman filtering. It is robust and
easily parallelizable
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