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This work addresses the problem of correspondence matching in multiview video sequences when co-acquired depth maps are available, as in the novel Multiview Video plus Depth (MVD) format. For the purpose of activity-based correspondence matching, we exploit the view depth information, allowing a thorough geometrical analysis of the video scene, and the statistical analysis of the inter-frame differences. In this paper we outline a correspondence matching procedure exploiting mutual informationdoi:10.1109/euvip.2014.7018404 dblp:conf/euvip/ColonneseORUBBS14 fatcat:fiujqohvtva7vm4pdemdrzp3fa