{"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/event-based-6-dof-camera-tracking-from","title":"Event-based, 6-DOF Camera Tracking from Photometric Depth Maps","arxiv_id":"1607.03468","date":"2016-07-12","proceeding":null,"authors":["Guillermo Gallego","Jon E. A. Lund","Elias Mueggler","Henri Rebecq","Tobi Delbruck","Davide Scaramuzza"],"abstract":"Event cameras are bio-inspired vision sensors that output pixel-level\nbrightness changes instead of standard intensity frames. These cameras do not\nsuffer from motion blur and have a very high dynamic range, which enables them\nto provide reliable visual information during high-speed motions or in scenes\ncharacterized by high dynamic range. These features, along with a very low\npower consumption, make event cameras an ideal complement to standard cameras\nfor VR/AR and video game applications. With these applications in mind, this\npaper tackles the problem of accurate, low-latency tracking of an event camera\nfrom an existing photometric depth map (i.e., intensity plus depth information)\nbuilt via classic dense reconstruction pipelines. Our approach tracks the 6-DOF\npose of the event camera upon the arrival of each event, thus virtually\neliminating latency. We successfully evaluate the method in both indoor and\noutdoor scenes and show that---because of the technological advantages of the\nevent camera---our pipeline works in scenes characterized by high-speed motion,\nwhich are still unaccessible to standard cameras.","url_abs":"http://arxiv.org/abs/1607.03468v2","url_pdf":"http://arxiv.org/pdf/1607.03468v2.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":"event-based-6-dof-camera-tracking-from","repo_url":"https://github.com/uzh-rpg/event-based_vision_resources","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1607.03468","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}