{"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/synthetic-human-model-dataset-for-skeleton","title":"Synthetic Human Model Dataset for Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction","arxiv_id":"1903.02679","date":"2019-03-07","proceeding":null,"authors":["Shafeeq Elanattil","Peyman Moghadam"],"abstract":"We introduce a synthetic dataset for evaluating non-rigid 3D human\nreconstruction based on conventional RGB-D cameras. The dataset consist of\nseven motion sequences of a single human model. For each motion sequence\nper-frame ground truth geometry and ground truth skeleton are given. The\ndataset also contains skinning weights of the human model. More information\nabout the dataset can be found at:\nhttps://research.csiro.au/robotics/our-work/databases/synthetic-human-model-dataset/","url_abs":"http://arxiv.org/abs/1903.02679v1","url_pdf":"http://arxiv.org/pdf/1903.02679v1.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":"3d-human-reconstruction","task_name":"3D Human Reconstruction"},{"task_slug":"3d-reconstruction","task_name":"3D Reconstruction"}],"methods":[],"datasets_introduced":[{"slug":"synthetic-human-model-dataset","name":"Synthetic Human Model Dataset","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}