The precision of 3-D parameters in correspondence-based techniques: the case of uniform translational motion in a rigid environment

Author

Snyder, M.A.

Author_Institution

Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA, USA

Volume

11

Issue

5

fYear

1989

fDate

5/1/1989 12:00:00 AM

Firstpage

523

Lastpage

528

Abstract

A general method of calculating the precision of environmental parameters which differs from conventional methods by finding analytical results, and which does so using only information in the image is discussed. This method called uncertainty-analysis, is applied to the case of first-order-error-based motion algorithms for determining environmental depth by matching corresponding points between two or more frames of a dynamic image sequence. How to calculate the uncertainty of in predicted values for the depth is shown, as well as how to calculate the search region for further instances of the point in subsequent frames, based only on information present in the image. The analysis is applied to a real image sequence with good results

Keywords

pattern recognition; picture processing; 3D parameters precision; correspondence-based techniques; first-order-error-based motion algorithms; pattern recognition; picture processing; rigid environment; search region; uncertainty-analysis; uniform translational motion; Additive noise; Computer aided software engineering; Error analysis; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Motion analysis; Taylor series; Uncertainty;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.24784

Filename

24784