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公开(公告)号：US20180322687A1
公开(公告)日：2018-11-08
申请号：US15895869
申请日：2018-02-13
发明人： Hang-Kee KIM , Ki-Suk LEE , Ki-Hong KIM
CPC分类号： G06T15/20 , G06F3/011 , G06T7/536 , G06T19/003
摘要： Disclosed herein are an apparatus and method for providing interactive content. The apparatus for providing interactive content includes an object classification unit for classifying content to be output into a view-independent background and view-dependent objects, a viewpoint association unit for determining viewpoints of users who are to be interactively associated with respective view-dependent objects and interactively associating the viewpoints of the users with the view-dependent objects, a rendering unit for generating a background-visualized image by rendering the view-independent background with respect to a hot spot, and generating object-visualized images by rendering the view-dependent objects based on the viewpoints interactively associated with respective view-dependent objects, and an output unit for outputting the background-visualized image and the object-visualized images.
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2.发明申请公开(公告)号：US20200226827A1
公开(公告)日：2020-07-16
申请号：US16738926
申请日：2020-01-09
发明人： Hang-Kee KIM , Ki-Hong KIM , Ki-Suk LEE
摘要： Disclosed herein are an apparatus and method for generating a skeleton model using deep learning. The method for generating a 3D full-body skeleton model using deep learning, performed by the apparatus for generating the 3D full-body skeleton model using deep learning, includes generating training data using deep learning by receiving a 2D X-ray image for training, analyzing the 2D X-ray image of a user using the training data, and generating a 3D full-body skeleton model by registering 3D local part bone models generated from the result of analyzing the 2D X-ray image of the user.
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