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This research project aims to develop a Virtual Viewpoint Reality (VVR) system that enables users to observe sporting events from diverse perspectives, such as behind the goal or as a player. By analyzing video footage, constructing 3D models, and providing high-level commentary and statistics, the project seeks to enhance understanding of plays, human movement, and player modeling. Leveraging cutting-edge techniques from tomography and real-time 3D reconstruction, the initiative will refine algorithms and integrate multiple camera systems to analyze and visualize complex human movements in sports.
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Virtual Viewpoint Reality: Overview • Research directed toward a system that will allow a user to observe any viewpoint of a sporting event. • E.g. From behind the goal, as a participating player • Research Questions: • Analysis of video from sporting events • Construction of 3D models • Provide high level commentary/statistics • Analyze plays • Modeling of players & the human form in general • Including human movement • Visualization/Presentation of VVR information
Virtual Viewpoint Reality: Progress • Further definition of goals (with NTT investigators) • Soccer as the demonstration sport • Setup new VVR laboratory • 14 computers with framegrabbers • Real-time parallel software system • Constructed a 3D scanner - to acquire test data • Research • New approach to 3D reconstruction using techniques from Tomography - paper forthcoming • Further refinement of this approach using a probabilistic interpretation • Adaptation of human tracking system for VVR
Virtual Viewpoint Reality: 6 month goals • Setup a system of 12-20 cameras working in real-time to construct coarse 3D models • Using intersection of silhouettes. • Further refine our 3D reconstruction algorithms • Study the integration of real-time silhouette system with 3D tomographic systems • Investigate graphics/rendering of 3D information • Begin to analyze 3D human movements