Technical Reports

1996

@techreport{VAN1996,
	vgclass =	{report},
	vgproject =	{invariance},
	author =	{Geoffrey E. Vanderkooy},
	title =	{Line Matching for Uncalibrated Cameras Using Projective
	Invariants},
	institution =	{Vision and Electronic Measurement Laboratory,
	Department of Mechanical Engineering, University of Victoria},
	address =	{Canada},
	year =	{1996},
	abstract =	{The correspondence problem has been difficult for the
	computer vision community to automate robustly. Typically,
	correspondence can only be obtained if the epipolar geometry is known
	(stereo camera pair), or the images are very similar (a video sequence
	for example).

	This paper proposes an new algorithm for solving the correspondence
	problem of line matching for uncalibrated cameras and large motion
	between images. The algorithm uses the cross-ratio, an invariant from
	projective geometry, and the minimum line border intensity difference
	for line matching.

	The algorithm was tested on real and synthetic data. Line matches with
	very low error were achieved for camera rotations of up to 45 degrees
	about an object with partial image overlap.},
}