{"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/estimation-of-camera-locations-in-highly","title":"Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble","arxiv_id":"1804.02591","date":"2018-04-07","proceeding":"CVPR 2018 6","authors":["Yunpeng Shi","Gilad Lerman"],"abstract":"We propose a strategy for improving camera location estimation in structure\nfrom motion. Our setting assumes highly corrupted pairwise directions (i.e.,\nnormalized relative location vectors), so there is a clear room for improving\ncurrent state-of-the-art solutions for this problem. Our strategy identifies\nseverely corrupted pairwise directions by using a geometric consistency\ncondition. It then selects a cleaner set of pairwise directions as a\npreprocessing step for common solvers. We theoretically guarantee the\nsuccessful performance of a basic version of our strategy under a synthetic\ncorruption model. Numerical results on artificial and real data demonstrate the\nsignificant improvement obtained by our strategy.","url_abs":"http://arxiv.org/abs/1804.02591v1","url_pdf":"http://arxiv.org/pdf/1804.02591v1.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":"estimation-of-camera-locations-in-highly","repo_url":"https://github.com/yunpeng-shi/AAB","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"all","task_name":"All"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1804.02591","atlas_url":"https://app.syntology.ai/?focus=1804.02591","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}