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
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;
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
DOI :
10.1109/IVS.2006.1689602
