{"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/geometric-affordances-from-a-single-example","title":"Geometric Affordances from a Single Example via the Interaction Tensor","arxiv_id":"1703.10584","date":"2017-03-30","proceeding":null,"authors":["Eduardo Ruiz","Walterio Mayol-Cuevas"],"abstract":"This paper develops and evaluates a new tensor field representation to\nexpress the geometric affordance of one object over another. We expand the well\nknown bisector surface representation to one that is weight-driven and that\nretains the provenance of surface points with directional vectors. We also\nincorporate the notion of affordance keypoints which allow for faster decisions\nat a point of query and with a compact and straightforward descriptor. Using a\nsingle interaction example, we are able to generalize to previously-unseen\nscenarios; both synthetic and also real scenes captured with RGBD sensors. We\nshow how our interaction tensor allows for significantly better performance\nover alternative formulations. Evaluations also include crowdsourcing\ncomparisons that confirm the validity of our affordance proposals, which agree\non average 84% of the time with human judgments, and which is 20-40% better\nthan the baseline methods.","url_abs":"http://arxiv.org/abs/1703.10584v1","url_pdf":"http://arxiv.org/pdf/1703.10584v1.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":"geometric-affordances-from-a-single-example","repo_url":"https://github.com/eduard626/interaction-tensor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}