{"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/landscapear-large-scale-outdoor-augmented","title":"LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors","arxiv_id":null,"date":"2020-08-01","proceeding":"ECCV 2020 8","authors":["Jan Brejcha","Michal Lukáč","Yannick Hold-Geoffroy","Oliver Wang","Martin Čadík"],"abstract":"We introduce a solution to large scale Augmented Reality for outdoor scenes by registering camera images to textured Digital Elevation Models (DEMs). To accomodate the inherent differences in appearance between real images and DEMs, we train a cross-domain feature descriptor using Structure From Motion (SFM) reconstructions to acquire training data. Our method runs efficiently on a mobile device, and outperforms existing learned and hand designed feature descriptors for this task.","url_abs":"https://www.ecva.net/papers/eccv_2020/papers_ECCV/html/6698_ECCV_2020_paper.php","url_pdf":"https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123740290.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":"landscapear-large-scale-outdoor-augmented","repo_url":"https://github.com/brejchajan/LandscapeAR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"patch-matching","task_name":"Patch Matching"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/patch-matching-on-hpatches","task":"Patch Matching","dataset":"HPatches","model":"LSAR-aux-render","rank_in_archive_order":2,"of":2,"metrics":{"Patch Matching":"45.3","Patch Retrieval":"55.6","Patch Verification":"95.6"},"uses_additional_data":true}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}