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Improving motion and orientation estimation using an equilibrated total least squares approach

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2 Author(s)
R. Mester ; Inst. for Appl. Phys., Johann Wolfgang Goethe Univ., Frankfurt, Germany ; M. Muhlich

This paper outlines the ubiquitous presence of generalized orientation (or subspace) estimation problems in image analysis. We show the potential sources of bias in naive approaches to directional estimation problems, discuss countermeasures against this bias, and point out the direct relation to the total least squares problem. An improved method (using TLS and "equilibration") for a precise direct motion estimation of planar objects (8 parameter motion model, homography estimation) concludes this paper

Published in:

Image Processing, 2001. Proceedings. 2001 International Conference on  (Volume:2 )

Date of Conference:

7-10 Oct 2001