POSE ESTIMATION BY FUSING NOISY DATA OF DIFFERENT DIMENSIONS

Authors
HELOR Y WERMAN M
Citation
Y. Helor et M. Werman, POSE ESTIMATION BY FUSING NOISY DATA OF DIFFERENT DIMENSIONS, IEEE transactions on pattern analysis and machine intelligence, 17(2), 1995, pp. 195-201
Citations number
21
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
17
Issue
2
Year of publication
1995
Pages
195 - 201
Database
ISI
SICI code
0162-8828(1995)17:2<195:PEBFND>2.0.ZU;2-I
Abstract
A method for fusing and integrating different 2D and 3D measurements f or pose estimation is proposed. The 2D measured data is viewed as 3D d ata with infinite uncertainty in particular directions. The method is implemented using Kalman filtering. It is robust and easily paralleliz able.