Multi sensory system for the recovery of 3D structure; industrial applications

Author

Bouwmans, T. ; Bigand, A. ; Dubus, J.P.

Author_Institution

Univ. du Littoral, Calais, France

fYear

1994

fDate

6-10 Nov. 1994

Firstpage

314

Lastpage

318

Abstract

The importance of 3D data acquisition is widely recognized in robotics field. One approach is to measure the distance on the basis of triangulation principle from the disparity of two images. This stereo method has a difficult problem of finding the correspondence of features between two images. This correspondence problem can be solved geometrically by adding one more camera (trinocular vision). This paper presents the application of this method. The two industrial examples presented here need a good precision in 3D representation, so epipolar constraints and camera calibration are studied in details.<>

Keywords

calibration; factory automation; image restoration; robot vision; stereo image processing; 3D structure recovery; camera calibration; epipolar constraints; factory automation; feature correspondence; multisensory system; robot vision; robotics; triangulation; trinocular vision; Calibration; Cameras; Data acquisition; Image segmentation; Intelligent manufacturing systems; Intelligent robots; Manufacturing industries; Position measurement; Robot vision systems; Shape measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Technologies and Factory Automation, 1994. ETFA '94., IEEE Symposium on

Conference_Location

Tokyo, Japan

Print_ISBN

0-7803-2114-6

Type

conf

DOI

10.1109/ETFA.1994.401995

Filename

401995