The problem of image registration subsumes a number of problems and techniques in multifr a me

image analysis, including the computation of optic flow (general pixel-based motion), stereo

correspondence, structure from motion, and feature tracking. We present a new registration

algorithm based on spline representations of the displacement field which can be specialized to

solve all of the above mentioned problems. In particular, we show how to compute local flow,

global (parametric) flow, rigid flow resulting from camera egomotion, and multifr a me versions of

the above problems. Using a spline-based descr iption of the flow removes the need for overlapping

correlation windows, and produces an explicit measure of the correlation between adjacent flow

estimates. We demonstrate our algorithm on multifr a me image registration and the recovery of 3D

projective scene geometry. We also provide results on a number of standard motion sequences.