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Proceedings Paper

Epipolar constrained motion estimation for reconstruction from video sequences
Author(s): Lionel Oisel; Etienne Memin; Luce Morin; Claude Labit
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Paper 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.

Paper Details

Date Published: 9 January 1998
PDF: 9 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298356
Show Author Affiliations
Lionel Oisel, IRISA/INRIA (France)
Etienne Memin, IRISA/INRIA (France)
Luce Morin, IRISA/INRIA (France)
Claude Labit, IRISA/INRIA (France)

Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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