TY - GEN
T1 - Review of geometric distortion compensation in fish-eye cameras
AU - Hughes, C.
AU - Glavin, M.
AU - Jones, E.
AU - Denny, P.
PY - 2008
Y1 - 2008
N2 - The majority of computer vision applications assume the pin-hole camera model. However, most optics will introduce some undesirable effects, rendering the assumption of the pin-hole camera model invalid. This is particularly evident in cameras with wide fields-of-view. The aim of distortion correction is, therefore, to transform the distorted view of wide-angle cameras to the pin-hole perspective view. Fish-eye cameras are those with "super- wide" fields-of-view, e.g. those cameras with fields-of-view of up to 180 degrees. However, these lenses exhibit severe forms of distortion. The most evident of these is radial distortion, but several other distortions, such as uneven illumination and inaccurate estimation of the centre of distortion, should also be considered when using a fish-eye camera. In this paper, we review and discuss methods of correcting radial and other distortions for fish-eye cameras and illustrate the effect of these methods on a test image exhibiting multiple types of distortion.
AB - The majority of computer vision applications assume the pin-hole camera model. However, most optics will introduce some undesirable effects, rendering the assumption of the pin-hole camera model invalid. This is particularly evident in cameras with wide fields-of-view. The aim of distortion correction is, therefore, to transform the distorted view of wide-angle cameras to the pin-hole perspective view. Fish-eye cameras are those with "super- wide" fields-of-view, e.g. those cameras with fields-of-view of up to 180 degrees. However, these lenses exhibit severe forms of distortion. The most evident of these is radial distortion, but several other distortions, such as uneven illumination and inaccurate estimation of the centre of distortion, should also be considered when using a fish-eye camera. In this paper, we review and discuss methods of correcting radial and other distortions for fish-eye cameras and illustrate the effect of these methods on a test image exhibiting multiple types of distortion.
UR - http://www.scopus.com/inward/record.url?scp=67649935284&partnerID=8YFLogxK
U2 - 10.1049/cp:20080656
DO - 10.1049/cp:20080656
M3 - Conference contribution
AN - SCOPUS:67649935284
SN - 9780863419317
T3 - IET Conference Publications
SP - 162
EP - 167
BT - IET Irish Signals and Systems Conference, ISSC 2008
T2 - IET Irish Signals and Systems Conference, ISSC 2008
Y2 - 18 June 2008 through 19 June 2008
ER -