Recently developed depth-sensing video camera technologies provide precise per-pixel range data in addition to color video. Such cameras will find application in robotics and vision-based human computer interaction scenarios such as games and gesture input systems. We present an interactive tabletop system which uses a depth-sensing camera to build a height map of the objects on the table surface. This height map is used in a driving simulation game that allows players to drive a virtual car over real objects placed on the table. Players can use folded bits of paper, for example, to lay out a course of ramps and other obstacles. A projector displays the position of the car on the surface, such that when the car is driven over a ramp, for example, it jumps appropriately. A second display shows a synthetic graphical view of the entire surface, or a traditional arcade view from behind the car. Micromotorcross is a fun initial investigation into the applicability of depth-sensing cameras to tabletop interfaces. We present details on its implementation, and speculate on how this technology will enable new tabletop interactions.<\/p>\n","protected":false},"excerpt":{"rendered":"
Recently developed depth-sensing video camera technologies provide precise per-pixel range data in addition to color video. Such cameras will find application in robotics and vision-based human computer interaction scenarios such as games and gesture input systems. We present an interactive tabletop system which uses a depth-sensing camera to build a height map of the objects […]<\/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":[13562,13552,13554],"msr-publication-type":[193716],"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-304193","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-computer-vision","msr-research-area-hardware-devices","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"IEEE","msr_edition":"","msr_affiliation":"","msr_published_date":"2007-11-19","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":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","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":"304196","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/10\/Wilson-Depth-Sensing.pdf","id":"304196","title":"wilson-depth-sensing","label_id":"243109","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"10.1109\/TABLETOP.2007.35","label_id":"243106","label":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"edited_text","value":"Andrew D. 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