Abstract:
Disclosed is an apparatus and method of generating a VR sickness prediction model. A method of generating a VR sickness prediction model according to the present disclosure includes: displaying virtual reality content on a display unit; detecting first VR sickness information of a user who experiences the virtual reality content using a sensor; determining second VR sickness information using a user input that is input from the user in response to a request for inputting a degree of VR sickness for the virtual reality content; performing machine learning based on supervised learning using VR sickness-inducing factors for the virtual reality content, the first VR sickness information, and the second VR sickness information; and determining a correlation between the VR sickness-inducing factors and a list of VR sickness symptoms on a basis of the performed machine learning.
Abstract:
A system and a method perform buoyance of a 3D hologram image on a hologram display screen in a projection mode. A system of displaying a digital hologram includes: a composite hologram unit configured to generate a hologram array by receiving hologram data of a fringe pattern and by compositing background image and a foreground image using the received fringe pattern; a hologram projection unit configured to project a hologram image through a wide-angle lens by applying a light to the hologram array; and a hologram display unit configured to perform space buoyance of the hologram image projected by the hologram projection unit on a 3D hologram display screen. The digital hologram content is managed in real time, and transmission of the digital hologram content to a remote place and site adaptive display of hologram image media may be achieved.
Abstract:
Provided is a method and device for outputting a large-capacity 3D model for an augmented reality (AR) device. A method of outputting a large-capacity 3D model for an AR device includes generating a multi-texture and a 3D mesh based on a multi-view image, generating a 3D model using the multi-texture and the 3D mesh, and transmitting, to the AR device, an image of the 3D model in a view, to which a camera of the AR device is directed, according to camera movement and rotation information of the AR device, and the AR device outputs the image in the view, to which the camera is directed.
Abstract:
The present disclosure relates to a method of and an apparatus for generating a space for sharing augmented reality content among multiple participants. With the method and the apparatus, an object for configuring a virtual space, which is proposed in an actual space, can also be proposed, in a spatial matching manner on a per-user basis, inside a common sharing space in augmented reality content by utilizing the technology of generating a space for sharing augmented reality content among multiple participants.
Abstract:
Disclosed is an apparatus and method of monitoring a VR (Virtual Reality) sickness prediction model for virtual reality content. A method of monitoring a VR sickness prediction model according to the present disclosure includes: displaying the virtual reality content on a display unit; acquiring an user input; analyzing the virtual reality content on a basis of the acquired user input; and displaying an analysis result for the virtual reality content on the display unit.
Abstract:
Provided is a method of generating multi-view immersive content. The method includes obtaining a multi-view background image from a plurality of cameras arranged in a curved shape, modeling the obtained multi-view background image to generate a codebook corresponding to the multi-view background image, obtaining a multi-view image including an object from the plurality of cameras and separating a foreground and a background from the obtained multi-view image by using the generated codebook, and synthesizing the object included in the separated foreground with a virtual background to generate multi-view immersive content.