{"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/dsr-direct-self-rectification-for","title":"DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras","arxiv_id":"1809.09763","date":"2018-09-26","proceeding":null,"authors":["Ruichao Xiao","Wenxiu Sun","Jiahao Pang","Qiong Yan","Jimmy Ren"],"abstract":"With the developments of dual-lens camera modules,depth information\nrepresenting the third dimension of thecaptured scenes becomes available for\nsmartphones. It isestimated by stereo matching algorithms, taking as input\nthetwo views captured by dual-lens cameras at slightly differ-ent viewpoints.\nDepth-of-field rendering (also be referred toas synthetic defocus or bokeh) is\none of the trending depth-based applications. However, to achieve fast depth\nestima-tion on smartphones, the stereo pairs need to be rectified inthe first\nplace. In this paper, we propose a cost-effective so-lution to perform stereo\nrectification for dual-lens camerascalled direct self-rectification, short for\nDSR1. It removesthe need of individual offline calibration for every pair\nofdual-lens cameras. In addition, the proposed solution isrobust to the slight\nmovements, e.g., due to collisions, ofthe dual-lens cameras after fabrication.\nDifferent with ex-isting self-rectification approaches, our approach\ncomputesthe homography in a novel way with zero geometric distor-tions\nintroduced to the master image. It is achieved by di-rectly minimizing the\nvertical displacements of correspond-ing points between the original master\nimage and the trans-formed slave image. Our method is evaluated on both\nreal-istic and synthetic stereo image pairs, and produces supe-rior results\ncompared to the calibrated rectification or otherself-rectification approaches","url_abs":"http://arxiv.org/abs/1809.09763v1","url_pdf":"http://arxiv.org/pdf/1809.09763v1.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":"dsr-direct-self-rectification-for","repo_url":"https://github.com/garroud/self-rectification","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"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}