{"id":707413,"date":"2020-11-22T23:09:23","date_gmt":"2020-11-23T07:09:23","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=707413"},"modified":"2022-07-31T23:28:57","modified_gmt":"2022-08-01T06:28:57","slug":"three-dimensional-position-estimation-mechanism","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/three-dimensional-position-estimation-mechanism\/","title":{"rendered":"Three dimensional position estimation mechanism"},"content":{"rendered":"

An apparatus to facilitate three dimensional (3D) position estimation is disclosed. The apparatus includes one or more processors to receive a plurality of images captured by a camera array during a live event, locate key-points of human joints of a plurality of event participants included in the images, associate key-points of each participant across the images and recover a 3D body position of each of the plurality of participants based on the associated key-points.<\/p>\n","protected":false},"excerpt":{"rendered":"

An apparatus to facilitate three dimensional (3D) position estimation is disclosed. The apparatus includes one or more processors to receive a plurality of images captured by a camera array during a live event, locate key-points of human joints of a plurality of event participants included in the images, associate key-points of each participant across the 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