{"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/large-scale-multiview-3d-hand-pose-dataset","title":"Large-scale Multiview 3D Hand Pose Dataset","arxiv_id":"1707.03742","date":"2017-07-12","proceeding":null,"authors":["Francisco Gomez-Donoso","Sergio Orts-Escolano","Miguel Cazorla"],"abstract":"Accurate hand pose estimation at joint level has several uses on human-robot\ninteraction, user interfacing and virtual reality applications. Yet, it\ncurrently is not a solved problem. The novel deep learning techniques could\nmake a great improvement on this matter but they need a huge amount of\nannotated data. The hand pose datasets released so far present some issues that\nmake them impossible to use on deep learning methods such as the few number of\nsamples, high-level abstraction annotations or samples consisting in depth\nmaps. In this work, we introduce a multiview hand pose dataset in which we\nprovide color images of hands and different kind of annotations for each, i.e\nthe bounding box and the 2D and 3D location on the joints in the hand. Besides,\nwe introduce a simple yet accurate deep learning architecture for real-time\nrobust 2D hand pose estimation.","url_abs":"http://arxiv.org/abs/1707.03742v3","url_pdf":"http://arxiv.org/pdf/1707.03742v3.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":[],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"hand-pose-estimation","task_name":"Hand Pose Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"}],"methods":[],"datasets_introduced":[{"slug":"3d-hand-pose","name":"3D Hand Pose","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1707.03742","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}