{"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-visual-place-recognition-for","title":"Real-Time Visual Place Recognition for Personal Localization on a Mobile Device","arxiv_id":"1611.02061","date":"2016-11-07","proceeding":null,"authors":["Michał Nowicki","Jan Wietrzykowski","Piotr Skrzypczyński"],"abstract":"The paper presents an approach to indoor personal localization on a mobile\ndevice based on visual place recognition. We implemented on a smartphone two\nstate-of-the-art algorithms that are representative to two different approaches\nto visual place recognition: FAB-MAP that recognizes places using individual\nimages, and ABLE-M that utilizes sequences of images. These algorithms are\nevaluated in environments of different structure, focusing on problems commonly\nencountered when a mobile device camera is used. The conclusions drawn from\nthis evaluation are guidelines to design the FastABLE system, which is based on\nthe ABLE-M algorithm, but introduces major modifications to the concept of\nimage matching. The improvements radically cut down the processing time and\nimprove scalability, making it possible to localize the user in long image\nsequences with the limited computing power of a mobile device. The resulting\nplace recognition system compares favorably to both the ABLE-M and the FAB-MAP\nsolutions in the context of real-time personal localization.","url_abs":"http://arxiv.org/abs/1611.02061v2","url_pdf":"http://arxiv.org/pdf/1611.02061v2.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-visual-place-recognition-for","repo_url":"https://github.com/LRMPUT/FastABLE","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"real-time-visual-place-recognition-for","repo_url":"https://github.com/LRMPUT/FastABLE_Android","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"visual-place-recognition","task_name":"Visual Place Recognition"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}