This paper presents minimal solutions for the geometric parameters of a camera rotating about its optical centre. In particular we present new 2 and 3 point solutions for the homography induced by a rotation with 1 and 2 unknown focal length parameters. Using tests on real data, we show that these algorithms outperform the standard 4 point linear homography solution in terms of accuracy of focal length estimation and image based projection errors.
|Publication status||Published - Jun 2007|
|Event||CVPR '07: IEEE Conference on Computer Vision and Pattern Recognition, 2007 - Minneapolis|
Duration: 17 Jun 2007 → 22 Jun 2007
|Conference||CVPR '07: IEEE Conference on Computer Vision and Pattern Recognition, 2007|
|Period||17/06/07 → 22/06/07|