An Epipolar-Constrained Prior for Efficient Search in Multi-View Scenarios
Ignacio Bosch (Technicolor, Universitat Politècnica de Catalunya)
Jordi Salvador (Technicolor)
Eduardo Pérez-Pellitero (Technicolor)
Javier Ruiz-Hidalgo (Universitat Politècnica de Catalunya)
Proceedings of the European Signal Processing Conference, 2014
You can find a visual summary in the conference poster.
Abstract
In this paper we propose a novel framework for fast exploitation of multi-view cues with applicability in different image processing problems. In order to bring our proposed framework into practice, an epipolar-constrained prior is presented, onto which a random search algorithm is proposed to find good matches among the different views of the same scene. This algorithm includes a generalization of the local coherency in 2D images for multi-view wide-baseline cases. Experimental results show that the geometrical constraint allows a faster initial convergence when finding good matches. We present some applications of the proposed framework on classical image processing problems.
BibTeX
@inproceedings { Bosch2014,author = {Bosch, I. and Salvador, J. and P\'erez-Pellitero, E. and Ruiz-Hidalgo, J.},
title = {{An Epipolar-Constrained Prior for Efficient Search in Multi-View Scenarios}},
booktitle = {Proc. Eur. Signal Processing Conf.},
pages = {first--last},
year = {2014},
}
