{"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/person-re-identification-with-correspondence","title":"Person Re-identification with Correspondence Structure Learning","arxiv_id":"1504.06243","date":"2015-04-23","proceeding":"ICCV 2015 12","authors":["Yang Shen","Weiyao Lin","Junchi Yan","Mingliang Xu","Jianxin Wu","Jingdong Wang"],"abstract":"This paper addresses the problem of handling spatial misalignments due to\ncamera-view changes or human-pose variations in person re-identification. We\nfirst introduce a boosting-based approach to learn a correspondence structure\nwhich indicates the patch-wise matching probabilities between images from a\ntarget camera pair. The learned correspondence structure can not only capture\nthe spatial correspondence pattern between cameras but also handle the\nviewpoint or human-pose variation in individual images. We further introduce a\nglobal-based matching process. It integrates a global matching constraint over\nthe learned correspondence structure to exclude cross-view misalignments during\nthe image patch matching process, hence achieving a more reliable matching\nscore between images. Experimental results on various datasets demonstrate the\neffectiveness of our approach.","url_abs":"http://arxiv.org/abs/1504.06243v1","url_pdf":"http://arxiv.org/pdf/1504.06243v1.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":"person-re-identification-with-correspondence","repo_url":"https://github.com/YangShenSJTUs/ReIDCorresStructure","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"patch-matching","task_name":"Patch Matching"},{"task_slug":"person-re-identification","task_name":"Person Re-Identification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}