Bosch I, Salvador J, Perez-Pellitero E, Ruiz-Hidalgo J. An Epipolar-Constrained Prior for Efficient Search in Multi-View Scenarios. In EUSIPCO. Lisbon; 2014.  (3.69 MB)

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.