Title :
Improving motion and orientation estimation using an equilibrated total least squares approach
Author :
Mester, Rudolf ; Mühlich, Matthias
Author_Institution :
Inst. for Appl. Phys., Johann Wolfgang Goethe Univ., Frankfurt, Germany
Abstract :
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
Keywords :
least squares approximations; motion estimation; parameter estimation; video signal processing; directional estimation; equilibrated total least squares approach; homography estimation; image analysis; motion estimation; motion video analysis; orientation estimation; planar objects; Brightness; Image analysis; Image processing; Least squares approximation; Least squares methods; Lighting; Motion detection; Motion estimation; Object recognition; Physics;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958647
