{"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/contour-parametrization-via-anisotropic-mean","title":"Contour Parametrization via Anisotropic Mean Curvature Flows","arxiv_id":"1803.03724","date":"2018-03-10","proceeding":null,"authors":["P. Suárez-Serrato","E. I. Velázquez Richards"],"abstract":"We present a new implementation of anisotropic mean curvature flow for\ncontour recognition. Our procedure couples the mean curvature flow of planar\nclosed smooth curves, with an external field from a potential of point-wise\ncharges. This coupling constrains the motion when the curve matches a picture\nplaced as background. We include a stability criteria for our numerical\napproximation.","url_abs":"http://arxiv.org/abs/1803.03724v1","url_pdf":"http://arxiv.org/pdf/1803.03724v1.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":"contour-parametrization-via-anisotropic-mean","repo_url":"https://github.com/V3du4rd0/AMCF","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}