{"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/in-the-saddle-chasing-fast-and-repeatable","title":"In the Saddle: Chasing Fast and Repeatable Features","arxiv_id":"1608.06800","date":"2016-08-24","proceeding":null,"authors":["Javier Aldana-Iuit","Dmytro Mishkin","Ondrej Chum","Jiri Matas"],"abstract":"A novel similarity-covariant feature detector that extracts points whose\nneighbourhoods, when treated as a 3D intensity surface, have a saddle-like\nintensity profile. The saddle condition is verified efficiently by intensity\ncomparisons on two concentric rings that must have exactly two dark-to-bright\nand two bright-to-dark transitions satisfying certain geometric constraints.\nExperiments show that the Saddle features are general, evenly spread and\nappearing in high density in a range of images. The Saddle detector is among\nthe fastest proposed. In comparison with detector with similar speed, the\nSaddle features show superior matching performance on number of challenging\ndatasets.","url_abs":"http://arxiv.org/abs/1608.06800v1","url_pdf":"http://arxiv.org/pdf/1608.06800v1.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":"in-the-saddle-chasing-fast-and-repeatable","repo_url":"https://github.com/aldanjav/saddle_detector","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"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}