Abstract:
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.
Abstract:
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.
Abstract:
An interactive content control apparatus and method includes a depth information acquisition unit for acquiring an image that includes depth information by capturing a static background object and a dynamic foreground object, and for calculating depth maps based on respective depth values of the static background object and the dynamic foreground object from the image, a display unit for projecting image content including a background image and an object image on a surface of the static background object captured by the depth information acquisition unit, and an image mapping unit for recognizing the dynamic foreground object depending on the depth maps based on the depth values calculated by the depth information acquisition unit, and controlling the display unit so that an object image projected on the surface of the static background object is transferred to and projected on a surface of the dynamic foreground object.
Abstract:
A method for providing osteoarthritis prediction information includes acquiring input data including medical image data corresponding to an image of a joint area of a user, generating a joint model of the joint area by performing a simulation based on finite element analysis (FEA) for the input data, generating bone tissue pattern information for the joint area using the input data, predicting disease in the joint area using the joint model and the bone tissue pattern information, and providing the result of prediction of the disease in the joint area to the user.
Abstract:
An apparatus for displaying image content based on pop-up book includes: a database for storing multiple pieces of reference depth-based mesh information, acquired for each page of pop-up book where stereoscopic shapes stand when the pop-up book is opened, and image content corresponding to each page; a depth information acquisition unit for acquiring an image including depth information by capturing the current page where the stereoscopic shapes protrude as a result of opening the pop-up book at arbitrary point, and generating depth-based mesh information about the current page; and a display unit for recognizing the current page by matching the multiple reference depth-based mesh information with the depth-based mesh information about the current page, generated by the depth information acquisition unit, extracting image content corresponding to the recognized current page from the database, and projecting it onto the current page.
Abstract:
Disclosed herein is a real-time dynamic non-planar projection apparatus and method, which can reduce visual errors, such as distortion of a screen image or deviation from a border area, upon projecting screen images from a projector onto the surface of a non-planar object that is moved in real time. The presented real-time dynamic non-planar projection apparatus includes a preprocessing unit for preprocessing data related to a static part of a screen image to be projected onto a non-planar surface. A real-time projection unit classifies non-planar objects in the screen image to be projected onto the non-planar surface into a rigid body and a non-rigid body using data output from the preprocessing unit, respectively renders the rigid body and the non-rigid body depending on a viewer's current viewpoint, and projects rendered results onto the non-planar surface via projection mapping.