{"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/hand-segmentation-for-hand-object-interaction","title":"Hand Segmentation for Hand-Object Interaction from Depth map","arxiv_id":"1603.02345","date":"2016-03-08","proceeding":null,"authors":["Byeongkeun Kang","Kar-Han Tan","Nan Jiang","Hung-Shuo Tai","Daniel Tretter","Truong Q. Nguyen"],"abstract":"Hand segmentation for hand-object interaction is a necessary preprocessing\nstep in many applications such as augmented reality, medical application, and\nhuman-robot interaction. However, typical methods are based on color\ninformation which is not robust to objects with skin color, skin pigment\ndifference, and light condition variations. Thus, we propose hand segmentation\nmethod for hand-object interaction using only a depth map. It is challenging\nbecause of the small depth difference between a hand and objects during an\ninteraction. To overcome this challenge, we propose the two-stage random\ndecision forest (RDF) method consisting of detecting hands and segmenting\nhands. To validate the proposed method, we demonstrate results on the publicly\navailable dataset of hand segmentation for hand-object interaction. The\nproposed method achieves high accuracy in short processing time comparing to\nthe other state-of-the-art methods.","url_abs":"http://arxiv.org/abs/1603.02345v3","url_pdf":"http://arxiv.org/pdf/1603.02345v3.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":"hand-segmentation-for-hand-object-interaction","repo_url":"https://github.com/byeongkeun-kang/HOI-dataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"hand-segmentation","task_name":"Hand Segmentation"},{"task_slug":"object","task_name":"Object"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}