Image motion estimation-convergence and error analysis

Author

Aguiar, Pedro M Q ; Moura, José M E

Author_Institution

Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisbon, Portugal

Volume

2

fYear

2001

Firstpage

937

Abstract

The paper computes the reliability of estimates of image motion parameters. The use of such measures of reliability to weight motion estimates improves significantly the performance of motion analysis tasks such as the recovery of 3D structure (see Irani, M. and Anandan, R., ECCV, vol.1, p.539-53, 2000; Aguiar, P.M.Q. and Moura, J.M.F., IEEE ICIP, vol.1, p.549-52, 2000). The paper relates both the estimation error variance and the stability of the estimation algorithm with the spatial gradient of the image brightness pattern. We illustrate the predictions of our expressions with several image brightness patterns

Keywords

brightness; convergence of numerical methods; covariance matrices; error analysis; image reconstruction; image sequences; motion estimation; parameter estimation; reliability; 3D reconstructions; 3D structure recovery; convergence; error analysis; error covariance matrix; estimation algorithm stability; estimation error variance; image brightness pattern; image motion estimation; parameter estimation; reliability measures; spatial gradient; Brightness; Convergence; Error analysis; Estimation error; Least squares methods; Motion analysis; Motion estimation; Motion measurement; Newton method; Recursive estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958649

Filename

958649