Stereo Motion from Feature Matching and Tracking

Author

Gilbert, Sébastien ; Laganière, Robert ; Roth, Gerhard

Author_Institution

Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont.

Volume

2

fYear

2005

fDate

16-19 May 2005

Firstpage

1246

Lastpage

1250

Abstract

This paper presents a 3D pose estimation and reconstruction system based on a calibrated stereoscopic vision setup. The proposed approach consists in robustly tracking the movements of the cameras with respect to a rigid scene along a sequence. In addition, a novel correction scheme is proposed, that compensates for the accumulated error in the computed positions, exploiting the detection of loops in the movement. Experiments are presented to assess the accuracy of the resulting 3D measurements

Keywords

computer vision; feature extraction; image reconstruction; motion estimation; stereo image processing; tracking; 3D pose estimation; calibrated stereoscopic vision setup; correction scheme; feature matching; feature tracking; reconstruction system; stereo motion; Calibration; Cameras; Error correction; Image reconstruction; Information technology; Layout; Position measurement; Robot vision systems; Robustness; Tracking; 3D reconstruction; Computer vision; camera calibration; non-contact measurement; position measurement; stereoscopic vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604346

Filename

1604346