Epipolar constrained motion estimation for reconstruction from video sequences
Lionel Oisel, Étienne Mémin, Luce Morin, Claude Labit · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
In this paper we present a method for matching two different views of a static scene without any calibration information on the camera. To that end, we use a technique derived from optical flow estimation which takes into account epipolar constraint. The epipolar geometry is directly computed from image data. We assume the dense disparity field to be smooth in any planar region. Smoothness is realized using a regularization method. By adding a robust M-estimator on the smoothness term, the resulting model implicitly takes into account depth discontinuities. We use a multiresolution scheme that allows to recover large displacement. Results are shown on real pairs of images.