Infinitesimal motion estimation from multiple central panoramic views

We present an algorithm for infinitesimal motion estimation from multiple central panoramic views. We first derive the optical flow equations for central panoramic cameras as a function of both pixel coordinates and back-projection rays. We then derive a rank constraint on the optical flows across many frames, which must lie in a six dimensional subspace of a higher-dimensional space. We then propose factorization approach for recovering camera motion and scene structure. We present experimental results on a real image sequence.