EditorInstitute of Electrical and Electronics Engineers (IEEE)
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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.
CitacióBosch, I. [et al.]. An epipolar-constrained prior for efficient search in multi-view scenarios. A: European Signal Processing Conference. "2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO): 1-5 September 2014: Lisbon, Portugal". Lisbon: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 1667-1671.