{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/real-time-panoramic-tracking-for-event","title":"Real-Time Panoramic Tracking for Event Cameras","arxiv_id":"1703.05161","date":"2017-03-15","proceeding":null,"authors":["Christian Reinbacher","Gottfried Munda","Thomas Pock"],"abstract":"Event cameras are a paradigm shift in camera technology. Instead of full\nframes, the sensor captures a sparse set of events caused by intensity changes.\nSince only the changes are transferred, those cameras are able to capture quick\nmovements of objects in the scene or of the camera itself. In this work we\npropose a novel method to perform camera tracking of event cameras in a\npanoramic setting with three degrees of freedom. We propose a direct camera\ntracking formulation, similar to state-of-the-art in visual odometry. We show\nthat the minimal information needed for simultaneous tracking and mapping is\nthe spatial position of events, without using the appearance of the imaged\nscene point. We verify the robustness to fast camera movements and dynamic\nobjects in the scene on a recently proposed dataset and self-recorded\nsequences.","url_abs":"http://arxiv.org/abs/1703.05161v2","url_pdf":"http://arxiv.org/pdf/1703.05161v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"real-time-panoramic-tracking-for-event","repo_url":"https://github.com/VLOGroup/dvs-panotracking","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"Position"},{"task_slug":"visual-odometry","task_name":"Visual Odometry"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1703.05161","atlas_url":"https://app.syntology.ai/?focus=1703.05161","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}