{"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/binary-stereo-matching","title":"Binary Stereo Matching","arxiv_id":"1402.2020","date":"2014-02-10","proceeding":null,"authors":["Kang Zhang","Jiyang Li","Yijing Li","Weidong Hu","Lifeng Sun","Shiqiang Yang"],"abstract":"In this paper, we propose a novel binary-based cost computation and\naggregation approach for stereo matching problem. The cost volume is\nconstructed through bitwise operations on a series of binary strings. Then this\napproach is combined with traditional winner-take-all strategy, resulting in a\nnew local stereo matching algorithm called binary stereo matching (BSM). Since\ncore algorithm of BSM is based on binary and integer computations, it has a\nhigher computational efficiency than previous methods. Experimental results on\nMiddlebury benchmark show that BSM has comparable performance with\nstate-of-the-art local stereo methods in terms of both quality and speed.\nFurthermore, experiments on images with radiometric differences demonstrate\nthat BSM is more robust than previous methods under these changes, which is\ncommon under real illumination.","url_abs":"http://arxiv.org/abs/1402.2020v1","url_pdf":"http://arxiv.org/pdf/1402.2020v1.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":"binary-stereo-matching","repo_url":"https://github.com/brainless-afk/Binary_Stereo_Matching","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"computational-efficiency","task_name":"Computational Efficiency"},{"task_slug":"stereo-matching-1","task_name":"Stereo Matching"},{"task_slug":"stereo-matching","task_name":"Stereo Matching Hand"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}