{"id":33,"date":"2023-05-08T18:10:32","date_gmt":"2023-05-08T18:10:32","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/f23team3\/?page_id=33"},"modified":"2023-05-09T15:39:28","modified_gmt":"2023-05-09T15:39:28","slug":"overview","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/f23team3\/","title":{"rendered":"Overview"},"content":{"rendered":"\n

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Mugsy is a High-end Multi-view Capturing System that helps capture synchronized multi-view videos of facial expressions exhibited by subjects inside the dome. The result of this large-scale camera setup is the dataset, Multiface. It consists of high-quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (left) to 23,000 (right) frames per subject were captured at 30 fps. <\/p>\n\n\n\n

Applications<\/strong>: Photo-realistic human face rendering and reconstruction<\/p>\n\n\n\n

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However, calibrating the cameras on such a large-scale using external calibration objects is time-consuming. Currently, these images are calibrated using an icosahedron with deltille grids pasted on top of its faces. <\/p>\n\n\n\n

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Problem Statement<\/strong><\/h1>\n\n\n\n