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Converting underwater imaging into imaging in air

: Dolereit, Tim; Kuijper, Arjan

Volltext urn:nbn:de:0011-n-2909938 (544 KByte PDF)
MD5 Fingerprint: c0928e76ad4244f8010e3b11c38c93e2
Erstellt am: 6.11.2014

Battiato, S. (Hrsg.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
9th International Conference on Computer Vision, Theory and Applications 2014. Proceedings. Vol.1 : Part of the 9th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2014. Lisbon, Portugal, 5 - 8 January, 2014
SciTePress, 2014
ISBN: 978-989-758-003-1
International Conference on Computer Vision Theory and Applications (VISAPP) <9, 2014, Lisbon>
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) <9, 2014, Lisbon>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
stereo techniques; underwater imaging; refraction; image analysis; camera calibration; camera models; Business Field: Visual decision support; Research Area: Computer vision (CV)

The application of imaging devices in underwater environments has become a common practice. Protecting the camera's constituent electric parts against water leads to refractive effects emanating from the water-glassair transition of light rays. These non-linear distortions can not be modeled by the pinhole camera model. For our new approach we focus on flat interface systems. By handling refractive effects properly, we are able to convert the problem to imaging conditions in air. We show that based on the location of virtual object points in water, virtual parameters of a camera following the pinhole camera model can be computed per image ray. This enables us to image the same object as if it was situated in air. Our novel approach works for an arbitrary camera orientation to the refractive interface. We show experimentally that our adopted physical methods can be used for the computation of 3D object points by a stereo camera system with much higher precision than with a naive in-situ calibration.