Epipolar constrained motion estimation for reconstruction from video sequences

Lionel Oisel; Etienne Memin; Luce Morin; Claude Labit

doi:10.1117/12.298356

9 January 1998 Epipolar constrained motion estimation for reconstruction from video sequences

Lionel Oisel, Etienne Memin, Luce Morin, Claude Labit

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298356
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Lionel Oisel, Etienne Memin, Luce Morin, and Claude Labit "Epipolar constrained motion estimation for reconstruction from video sequences", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298356

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