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This paper presents a stereo matching approach for a novel multi-perspective panoramic stereo vision system, making use of asynchronous and non-simultaneous stereo imaging towards real-time 3D 360 • vision. The method is designed for events representing the scenes visual contrast as a sparse visual code allowing the stereo reconstruction of high resolution panoramic views. We propose a novel cost measure for the stereo matching, which makes use of a similarity measure based on eventdoi:10.1109/cvpr.2015.7298644 dblp:conf/cvpr/SchramlBB15 fatcat:iccxijary5ccrljf76s5zl5luu