{"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/monocular-lsd-slam-integration-within-ar","title":"Monocular LSD-SLAM Integration within AR System","arxiv_id":"1702.02514","date":"2017-02-08","proceeding":null,"authors":["Markus Höll","Vincent Lepetit"],"abstract":"In this paper, we cover the process of integrating Large-Scale Direct\nSimultaneous Localization and Mapping (LSD-SLAM) algorithm into our existing AR\nstereo engine, developed for our modified \"Augmented Reality Oculus Rift\". With\nthat, we are able to track one of our realworld cameras which are mounted on\nthe rift, within a complete unknown environment. This makes it possible to\nachieve a constant and full augmentation, synchronizing our 3D movement (x, y,\nz) in both worlds, the real world and the virtual world. The development for\nthe basic AR setup using the Oculus Rift DK1 and two fisheye cameras is fully\ndocumented in our previous paper. After an introduction to image-based\nregistration, we detail the LSD-SLAM algorithm and document our code\nimplementing our integration. The AR stereo engine with Oculus Rift support can\nbe accessed via the GIT repository https://github.com/MaXvanHeLL/ARift.git and\nthe modified LSD-SLAM project used for the integration is available here\nhttps://github.com/MaXvanHeLL/LSD-SLAM.git.","url_abs":"http://arxiv.org/abs/1702.02514v1","url_pdf":"http://arxiv.org/pdf/1702.02514v1.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":"monocular-lsd-slam-integration-within-ar","repo_url":"https://github.com/MaXvanHeLL/ARift","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"monocular-lsd-slam-integration-within-ar","repo_url":"https://github.com/MaXvanHeLL/LSD-SLAM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"simultaneous-localization-and-mapping","task_name":"Simultaneous Localization and Mapping"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}