DocumentCode
2485449
Title
Self calibration of a road stereo vision system through correlation criterions
Author
Kramm, Sebastien ; Miche, Pierre ; Bensrhair, Abdelaziz
Author_Institution
LITIS, INSA Rouen, Mont-Saint-Aignan
fYear
0
fDate
0-0 0
Firstpage
36
Lastpage
41
Abstract
In this article, we address the problem of self calibrating an embedded stereoscopic vision system, that is determining its epipolar geometry automatically. After reviewing the general method, we propose and describe two new methods for matching points, based on correlation, and using the sole constraint of unicity. We compare them with an already published method, and present some experimental results
Keywords
calibration; correlation methods; embedded systems; geometry; image matching; stereo image processing; correlation criterions; embedded stereoscopic vision system; epipolar geometry; fundamental matrix; image matching; road stereo vision system; self calibration; Calibration; Cameras; Costs; Detectors; Geometry; Image analysis; Layout; Machine vision; Roads; Stereo vision; Stereo vision; correlation; epipolar geometry; fundamental matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location
Tokyo
Print_ISBN
4-901122-86-X
Type
conf
DOI
10.1109/IVS.2006.1689602
Filename
1689602
Link To Document