@conference {cBosch14,
	title = {An Epipolar-Constrained Prior for Efficient Search in Multi-View Scenarios},
	booktitle = {EUSIPCO},
	year = {2014},
	month = {09/2014},
	address = {Lisbon},
	abstract = {<p>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.</p>},
	keywords = {approximate nearest neighbor, deblurring, epipolar line, Super resolution},
	author = {Bosch, I. and Salvador, J. and E. Perez-Pellitero and Ruiz-Hidalgo, J.}
}
