{"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/farm-functional-automatic-registration-method","title":"FARM: Functional Automatic Registration Method for 3D Human Bodies","arxiv_id":"1807.10517","date":"2018-07-27","proceeding":null,"authors":["Riccardo Marin","Simone Melzi","Emanuele Rodolà","Umberto Castellani"],"abstract":"We introduce a new method for non-rigid registration of 3D human shapes. Our\nproposed pipeline builds upon a given parametric model of the human, and makes\nuse of the functional map representation for encoding and inferring shape maps\nthroughout the registration process. This combination endows our method with\nrobustness to a large variety of nuisances observed in practical settings,\nincluding non-isometric transformations, downsampling, topological noise, and\nocclusions; further, the pipeline can be applied invariably across different\nshape representations (e.g. meshes and point clouds), and in the presence of\n(even dramatic) missing parts such as those arising in real-world depth sensing\napplications. We showcase our method on a selection of challenging tasks,\ndemonstrating results in line with, or even surpassing, state-of-the-art\nmethods in the respective areas.","url_abs":"http://arxiv.org/abs/1807.10517v1","url_pdf":"http://arxiv.org/pdf/1807.10517v1.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":"farm-functional-automatic-registration-method","repo_url":"https://github.com/riccardomarin/FARM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"shrec-19","name":"SHREC'19","full_name":"SHREC'19 track Matching Humans with Different Connectivity"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.10517","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}