Use of surface reconstruction for machine vision

Author

Munasinghe, Ranjith ; Fernando, Christopher G.

Author_Institution

Dept. of Mathematics, West Virginia Univ. Inst. of Technol., Montgomery, WV, USA

fYear

2004

fDate

2004

Firstpage

6

Lastpage

10

Abstract

Two cameras with parallel optical axes at the same altitude are often used for stereo vision. In this paper, mathematical relationships between pixel positions and the coordinates of the point viewed are derived for any camera structure. A detailed description of epipolar geometry is included and equations for epipolar lines are derived. The key problem in static stereo method for surface reconstruction is the correspondence problem, the task of matching corresponding pixels in two images. Matching all pixels is necessary for construction of a dense surface. Since it takes an extraordinary amount of time for matching all pixels, construction of polyhedral approximations for surfaces is proposed. An existing algorithm is modified for this purpose.

Keywords

image matching; image reconstruction; remotely operated vehicles; stereo image processing; correspondence problem; epipolar geometry; epipolar lines; image matching; machine vision; polyhedral approximations; smart warfighting array of reconfigurable module; static stereo method; surface reconstruction; unmanned arial vehicle; Cameras; Data mining; Equations; Feature extraction; Image reconstruction; Machine vision; Pixel; Stereo image processing; Surface reconstruction; Unmanned aerial vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on

ISSN

0094-2898

Print_ISBN

0-7803-8281-1

Type

conf

DOI

10.1109/SSST.2004.1295609

Filename

1295609