A sequential algorithm for motion estimation from point correspondences with intermittent occlusions

Author

Hebert, Thomas J. ; Yang, Xudong

Author_Institution

Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

221

Abstract

Practical applications of estimating an objects motion from an image sequence must address the occlusion of feature points. A sequential algorithm for estimating an object´s motion and structure based upon minimizing a conditional least squares criterion is formulated. In comparison to a batch least squares solution based upon twenty image frames, this structure achieved a 98.7 fold reduction in computation time at the cost of an overall 3% increase in estimation error

Keywords

computational complexity; image sequences; least squares approximations; motion estimation; parameter estimation; batch least squares solution; computation time reduction; conditional least squares criterion; estimation error; feature points; image frames; image sequence; intermittent occlusions; motion estimation; object structure; point correspondences; sequential algorithm; Application software; Costs; Estimation error; Image reconstruction; Image sequences; Least squares approximation; Motion estimation; Noise level; Object recognition; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537454

Filename

537454