{"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/a-convolutional-approach-to-reflection","title":"A convolutional approach to reflection symmetry","arxiv_id":"1609.05257","date":"2016-09-17","proceeding":null,"authors":["Marcelo Cicconet","Vighnesh Birodkar","Mads Lund","Michael Werman","Davi Geiger"],"abstract":"We present a convolutional approach to reflection symmetry detection in 2D.\nOur model, built on the products of complex-valued wavelet convolutions,\nsimplifies previous edge-based pairwise methods. Being parameter-centered, as\nopposed to feature-centered, it has certain computational advantages when the\nobject sizes are known a priori, as demonstrated in an ellipse detection\napplication. The method outperforms the best-performing algorithm on the CVPR\n2013 Symmetry Detection Competition Database in the single-symmetry case. Code\nand a new database for 2D symmetry detection is available.","url_abs":"http://arxiv.org/abs/1609.05257v1","url_pdf":"http://arxiv.org/pdf/1609.05257v1.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":"a-convolutional-approach-to-reflection","repo_url":"https://github.com/cicconet/SymmetryAxes","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"symmetry-detection","task_name":"Symmetry Detection"}],"methods":[],"datasets_introduced":[{"slug":"nyu-symmetry-database","name":"NYU Symmetry Database","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1609.05257","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}