Title :
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
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958649
