{"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-subpixel-fast-bilateral-stereo","title":"Real-Time Subpixel Fast Bilateral Stereo","arxiv_id":"1807.02044","date":"2018-07-05","proceeding":null,"authors":["Rui Fan","Yanan Liu","Mohammud Junaid Bocus","Lujia Wang","Ming Liu"],"abstract":"Stereo vision technique has been widely used in robotic systems to acquire\n3-D information. In recent years, many researchers have applied bilateral\nfiltering in stereo vision to adaptively aggregate the matching costs. This has\ngreatly improved the accuracy of the estimated disparity maps. However, the\nprocess of filtering the whole cost volume is very time consuming and therefore\nthe researchers have to resort to some powerful hardware for the real-time\npurpose. This paper presents the implementation of fast bilateral stereo on a\nstate-of-the-art GPU. By highly exploiting the parallel computing architecture\nof the GPU, the fast bilateral stereo performs in real time when processing the\nMiddlebury stereo datasets.","url_abs":"http://arxiv.org/abs/1807.02044v3","url_pdf":"http://arxiv.org/pdf/1807.02044v3.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-subpixel-fast-bilateral-stereo","repo_url":"https://bitbucket.org/rangerfan/bilateral_stereo_gpu_middlebury","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":null,"task_name":"GPU"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}