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Motion-based online calibration for non-overlapping camera views

: Pagel, F.; Willersinn, D.

Preprint urn:nbn:de:0011-n-1476679 (803 KByte PDF)
MD5 Fingerprint: c24c701f37b701708ef4aca99bf8ca68
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Erstellt am: 7.7.2012

Institute of Electrical and Electronics Engineers -IEEE-:
13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010 : Funchal, Portugal, 19-22 Sept. 2010
New York, NY: IEEE, 2010
ISBN: 978-1-4244-7657-2
International Conference on Intelligent Transportation Systems (ITSC) <13, 2010, Funchal>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
calibration; feature extraction; image motion analysis; image reconstruction; image sensor; sensor fusion; motion based online calibration; nonoverlapping camera view; multiple camera sensor; 3D scene reconstruction; image motion techniques; sensor information

The use of multiple cameras in vehicles becomes more and more attractive as hardware prices decrease rapidly. Multiple camera sensors can be used to cover the whole environment of a vehicle and for 3D scene reconstruction using stereo or structure from motion techniques. To be able to use all sensor informations in a common coordinate frame, it is necessary to know the relative positions and orientations of the cameras. Calibration procedures (offline or online) determine these parameters using point correspondences between the camera images. However, camera configurations to monitor the entire area around a vehicle often have non-overlapping fields of view due to cost reasons. In that case, common techniques based on corresponding image points are no more applicable. This contribution outlines a concept to perform an online calibration of multiple cameras on a mobile platform with non-overlapping fields of view. We use the motion of the cameras and local image features to define constraints that allow for the calculation of the calibration parameters.