A New Method for Stereo Matching Based on Fiducial Marker

Author

Leijie Huang ; Kaiyong Jiang ; Junyi Lin

Author_Institution

Coll. of Mech. Eng. & Autom., Huaqiao Univ., Xiamen, China

fYear

2013

fDate

16-17 Jan. 2013

Firstpage

48

Lastpage

51

Abstract

This paper proposes a new method to automatically recognize and stereo match fiducial markers at the stage of data coarse alignment in 3D profile measurement. Markers were detected by OpenCV contour extraction function, a set of criterions were proposed for eliminating pseudo markers. Then fiducial markers were divided into different encoded regions by projecting encoded images on target object. Encoded regional identity and epipolar constraint were combined to achieve stereo matching. The algorithm has been approved by experimental test that markers were recognized and matched correctly.

Keywords

feature extraction; image coding; image matching; image recognition; stereo image processing; 3D profile measurement; OpenCV contour extraction function; data coarse alignment; encoded images; encoded regions; epipolar constraint; pseudo marker elimination; stereo match fiducial marker recognition; Cameras; Educational institutions; Image edge detection; Robustness; Shape; Three-dimensional displays; encoded image; fiducial marker; recognize criterion; stereo matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4673-5652-7

Type

conf

DOI

10.1109/ICMTMA.2013.23

Filename

6493667