Performance Assessment by Resampling:
Rigid Motion Estimators

Bogdan Matei(1) Peter Meer(1) David Tyler(2)

(1)Department of Electrical and Computer Engineering
(2)Department of Statistics
Rutgers University, Piscataway, NJ 08855, USA

Quantitative assessment of performance in image understanding tasks with real data is difficult since the data is complex and the different computational modules most often interact. Employing modern statistical techniques we have developed a set of numerical tools which provide rigorous performance measures derived solely from the given input. Covariance matrices and confidence intervals are computed for the estimated parameters and individually for the corrected data points. As an example, the proposed methodology is applied to compare rigid motion estimators.

Appeared in Empirical Evaluation Techniques in Computer Vision , K.W. Bowyer, P.J. Phillips (Eds.), IEEE CS Press, Los Alamitos, CA, 1998, 72--95.
Return to Research: Bootstrap as a tool for computer vision       Return to List of Publications
Download the paper