{"id":306953,"date":"2016-10-17T13:57:29","date_gmt":"2016-10-17T20:57:29","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=306953"},"modified":"2019-09-25T12:34:36","modified_gmt":"2019-09-25T19:34:36","slug":"luxomatic-computer-vision-puppeteering","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/luxomatic-computer-vision-puppeteering\/","title":{"rendered":"Luxomatic: Computer Vision for Puppeteering"},"content":{"rendered":"
In this tech note we describe the Luxomatic performance animation system, a computer vision system that tracks a puppeteer\u2019s hand to map hand position and shape to an animated graphical model. An eigenvector decomposition of typical hand images are used to both track the hand and extract two-dimensional pose information in real time. Luxomatic was constructed as a class project in 1997.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this tech note we describe the Luxomatic performance animation system, a computer vision system that tracks a puppeteer\u2019s hand to map hand position and shape to an animated graphical model. An eigenvector decomposition of typical hand images are used to both track the hand and extract two-dimensional pose information in real time. Luxomatic was […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13562,13554],"msr-publication-type":[193718],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-306953","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-computer-vision","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"1997-12-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"MIT-TR-512","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"Microsoft","msr_how_published":"","msr_notes":"MIT Media Laboratory Perceptual Computing Section Technical Report","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"306956","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/10\/luxomatic.pdf","id":"306956","title":"luxomatic","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"edited_text","value":"Andrew D. 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