{"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/interactive-removal-and-ground-truth-for","title":"Interactive Removal and Ground Truth for Difficult Shadow Scenes","arxiv_id":"1608.00762","date":"2016-08-02","proceeding":null,"authors":["Han Gong","Darren P. Cosker"],"abstract":"A user-centric method for fast, interactive, robust and high-quality shadow\nremoval is presented. Our algorithm can perform detection and removal in a\nrange of difficult cases: such as highly textured and colored shadows. To\nperform detection an on-the-fly learning approach is adopted guided by two\nrough user inputs for the pixels of the shadow and the lit area. After\ndetection, shadow removal is performed by registering the penumbra to a\nnormalized frame which allows us efficient estimation of non-uniform shadow\nillumination changes, resulting in accurate and robust removal. Another major\ncontribution of this work is the first validated and multi-scene category\nground truth for shadow removal algorithms. This data set containing 186 images\neliminates inconsistencies between shadow and shadow-free images and provides a\nrange of different shadow types such as soft, textured, colored and broken\nshadow. Using this data, the most thorough comparison of state-of-the-art\nshadow removal methods to date is performed, showing our proposed new algorithm\nto outperform the state-of-the-art across several measures and shadow category.\nTo complement our dataset, an online shadow removal benchmark website is also\npresented to encourage future open comparisons in this challenging field of\nresearch.","url_abs":"http://arxiv.org/abs/1608.00762v1","url_pdf":"http://arxiv.org/pdf/1608.00762v1.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":"interactive-removal-and-ground-truth-for","repo_url":"https://github.com/hangong/deshadow","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"shadow-removal","task_name":"Shadow Removal"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1608.00762","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}