{"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-multi-view-rgb-d-approach-for-human-pose","title":"A Multi-view RGB-D Approach for Human Pose Estimation in Operating Rooms","arxiv_id":"1701.07372","date":"2017-01-25","proceeding":null,"authors":["Abdolrahim Kadkhodamohammadi","Afshin Gangi","Michel de Mathelin","Nicolas Padoy"],"abstract":"Many approaches have been proposed for human pose estimation in single and\nmulti-view RGB images. However, some environments, such as the operating room,\nare still very challenging for state-of-the-art RGB methods. In this paper, we\npropose an approach for multi-view 3D human pose estimation from RGB-D images\nand demonstrate the benefits of using the additional depth channel for pose\nrefinement beyond its use for the generation of improved features. The proposed\nmethod permits the joint detection and estimation of the poses without knowing\na priori the number of persons present in the scene. We evaluate this approach\non a novel multi-view RGB-D dataset acquired during live surgeries and\nannotated with ground truth 3D poses.","url_abs":"http://arxiv.org/abs/1701.07372v1","url_pdf":"http://arxiv.org/pdf/1701.07372v1.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-multi-view-rgb-d-approach-for-human-pose","repo_url":"https://github.com/CAMMA-public/mvor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"3d-human-pose-estimation","task_name":"3D Human Pose Estimation"},{"task_slug":"multi-view-3d-human-pose-estimation","task_name":"Multi-view 3D Human Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}