{"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/3d-object-reconstruction-from-hand-object","title":"3D Object Reconstruction from Hand-Object Interactions","arxiv_id":"1704.00529","date":"2017-04-03","proceeding":"ICCV 2015 12","authors":["Dimitrios Tzionas","Juergen Gall"],"abstract":"Recent advances have enabled 3d object reconstruction approaches using a\nsingle off-the-shelf RGB-D camera. Although these approaches are successful for\na wide range of object classes, they rely on stable and distinctive geometric\nor texture features. Many objects like mechanical parts, toys, household or\ndecorative articles, however, are textureless and characterized by minimalistic\nshapes that are simple and symmetric. Existing in-hand scanning systems and 3d\nreconstruction techniques fail for such symmetric objects in the absence of\nhighly distinctive features. In this work, we show that extracting 3d hand\nmotion for in-hand scanning effectively facilitates the reconstruction of even\nfeatureless and highly symmetric objects and we present an approach that fuses\nthe rich additional information of hands into a 3d reconstruction pipeline,\nsignificantly contributing to the state-of-the-art of in-hand scanning.","url_abs":"http://arxiv.org/abs/1704.00529v1","url_pdf":"http://arxiv.org/pdf/1704.00529v1.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":"3d-object-reconstruction-from-hand-object","repo_url":"https://github.com/dimtziwnas/InHandScanningICCV15_Reconstruction","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"3d-object-reconstruction-from-hand-object","repo_url":"https://github.com/dimtziwnas/InHandScanningICCV15_GroundTruthViewer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"3d-object-reconstruction-from-hand-object","repo_url":"https://github.com/dimtziwnas/InHandScanningICCV15_HandMotionViewer","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"3d-object-reconstruction","task_name":"3D Object Reconstruction"},{"task_slug":"3d-reconstruction","task_name":"3D Reconstruction"},{"task_slug":"articles","task_name":"Articles"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-reconstruction","task_name":"Object Reconstruction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1704.00529","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}