Recursive Structure and Motion Estimation from Noisy Uncalibrated Video Sequences

DSpace Repository

Recursive Structure and Motion Estimation from Noisy Uncalibrated Video Sequences

Show full item record

Files for download

Facebook

Simple item record

Publication Article, peer reviewed scientific
Title Recursive Structure and Motion Estimation from Noisy Uncalibrated Video Sequences
Author(s) Huynh, Du ; Heyden, Anders
Date 2008-12
English abstract
This paper builds on a novel framework of hybrid matching constraints for estimation of structure and recovery of camera focal length and motion, combining the advantages of both discrete and continuous methods. Our recursive method can deal with both image noise and outliers. The system is an extension of the epipolar hybrid matching constraints in conjunction with a simple structure estimation scheme using standard triangulation. The extension enables the system to deal with varying focal length of the camera. The structure obtained from some previous image frames is used to improve estimates of the camera focal length and motion for the current image frame. These are, in turn, used to refine the structure. Finally, a RANSAC outlier rejection scheme is employed to reject outlier tracks, inevitably obtained from any tracker. The performance of the proposed system is demonstrated on simulated experiments.
Publisher IAPR
Host/Issue Proceedings International Conference on Pattern Recognition
Language eng (iso)
Subject(s) structure and motion estimation
hybrid motion constraints
Humanities/Social Sciences
Research Subject Categories::TECHNOLOGY::Information technology::Computer science::Computer science
Research Subject Categories::MATHEMATICS::Applied mathematics
Handle http://hdl.handle.net/2043/7396 (link to this page)

This item appears in the following Collection(s)

Show full item record

Search


Browse

My Account

Statistics