Electronics and Telecommunications Research Institute

Seung Woo Nam

Myung Ha Kim

Jung Jae Yu

Hae Dong Kim

Ho Wook Jang

Kyung Ho Jang

Yun Ji Ban

In Ho Lee

Do-Hyung Kim

Bon Ki Koo

Chang Joon Park

Ji Young Park

Ji Hyung Lee

Wook Ho Son

Beom Ryeol Lee

Kwang Hyun Shim

Hye-Sun Kim

Hye Sun Kim

Hee Seok Oh

Jin Seo Kim

Seong Min Baek

Hyuk Jeong

Sung-Soo Kim

Dong Won Han

Joo-Haeng Lee

Soon Young Kwon

Moon Wook Ryu

Hee Kwon Kim

Hyun Bin Kim

In Su Jang

Soon Chul Jung

Ju Yong Chang

Yoon Seok Choi

Soonchan Park

Jae Hoo Lee

Ii-Kwon Jeong

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.

Apparatus and method of monitoring VR sickness prediction model for virtual reality content

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.

Apparatus and method of generating machine learning-based cyber sickness prediction model for virtual reality content

An apparatus for generating 3-dimensional (3D) volume mask model and a method therefor. The apparatus includes a 2D mask data collector, a 3D mask model generator, and a 3D mask model adjuster, whereby 2D mask data is generated from a 2D mask image designed by a user, a 2D mask mesh is created based on inner and outer contour feature points, a 2D mask is transformed into a 3D model according to the user's settings, and the generated 3D mask model is modified to fit on a facial shape of a person who will wear the mask, and a 3D mask volume model is generated, which is immediately printed by a 3D printer to produce a 3D mask.

Apparatus for generating 3D volume mask model and method therefor

A method of representing a 3D video from a 2D video by use of a node-based task pipeline for 3D video representation, the method implementable by a computer and including generating nodes, each having a defined task sequence required for a 3D video representation, in a node connecting task section provided to a Graphic User Interface (GUI), generating a task pipeline defining a connectivity relationship between the generated nodes, providing a user interface that is configured to operate user-defined data that is to be used by a certain node of the task pipeline, and generating user-defined data based on a user input that is input through the user interface, and outputting a 3D video from an input 2D video by use of the task pipeline and the user-defined data.

Apparatus for representing 3D video from 2D video and method thereof

A hand motion recognizing apparatus obtains an image with first resolution including a hand and an image with second resolution higher than the first resolution including the hand, maps the image with the first resolution and the image with the second resolution, extracts a hand position from the image with the first resolution, obtains a hand region corresponding to the hand position from the image with the second resolution mapped to the image with the first resolution, and subsequently estimates a hand motion from the hand region.

Method and apparatus for recognizing hand motion

Provided is an apparatus and method for obtaining depth information using an optical pattern. The apparatus for obtaining depth information using the optical pattern may include: a pattern projector to generate the optical pattern using a light source and an optical pattern projection element (OPPE), and to project the optical pattern towards an object area, the OPPE comprising a pattern that includes a plurality of pattern descriptors; an image obtaining unit to obtain an input image by photographing the object area; and a depth information obtaining unit to measure a change in a position of at least one of the plurality of pattern descriptors in the input image, and to obtain depth information of the input image based on the change in the position.

Method and apparatus for obtaining depth information using optical pattern

Disclosed are a system for making 3D contents provided with visual fatigue minimization and a method of the same. More particularly, an exemplary embodiment of the present invention provides a system for making 3D contents including: a human factor information unit generating guide information for making 3D contents by considering factors causing visual fatigue of the 3D contents; and a 3D contents making unit applying guide information generated by the human factor information unit to 3D contents data inputted for making the 3D contents to make the 3D contents, and a method of making 3D contents.

System for making 3D contents provided with visual fatigue minimization and method of the same

A method of converting a two-dimensional video to a three-dimensional video, the method comprising: comparing an image of an nframe with an accumulated image until an n&#x2212;1frame in the two-dimensional video to calculate a difference in a color value for each pixel; generating a difference image including information on a change in a color value for each pixel of the nframe; storing an accumulated image until the nframe by accumulating the information on the change in the color value for each pixel until the nframe; performing an operation for a pixel in which a change in a color value is equal to or larger than a predetermined level by using the difference image to generate a division image and a depth map image; and converting the image of the nframe to a three-dimensional image by using the depth map image.

Method and apparatus for converting 2D video image into 3D video image

Disclosed are an apparatus and a method for extracting a foreground layer from an image sequence that extract a foreground object layer area in which a depth value is discontinuous with that of a background from an input image sequence. By using the present disclosure, the layer area is automatically tracked in the subsequent frames through user's setting in the start frame in the image sequence in which the depth values of the foreground and the background are discontinuous, thereby extracting the foreground layer area in which the drift phenomenon and the flickering phenomenon are reduced.

Apparatus and method for extracting foreground layer in image sequence

An apparatus for correcting a stereoscopic image using matching information, includes: a matching information visualizer receiving input of original stereoscopic images and intuitive matching information and visualizing a pair of stereoscopic images based on the intuitive matching information; a correction information processor obtaining a statistical camera parameter based on the intuitive matching information and correcting the received stereoscopic image using the statistical camera parameter; and an error allowable controller providing allowable error information to the correction information processor in consideration of an error allowable degree according to a selected time from the received intuitive matching information and preset human factor guide information, to extract a correlation between stereoscopic images using a stereoscopic image and provided information, thereby helping such that an erroneously photographed image is correctly photographed or correcting the image such that the erroneously photographed image is correctly interpreted, which leads to minimization of visual fatigue.

Apparatus and method for correcting stereoscopic image using matching information

An image synthesis apparatus supporting measured materials properties includes an input unit for receiving from a user selected information on material information processing, sampling and rendering; a material information processing unit for converting measured material data into raw material data, performing material model fitting on the raw material data to generate material information and performing material mixing on the material information to generate mixed material information, wherein the model fitting and the material mixing is performed according to the selected information; and a sampling unit for sampling the raw material data to generate sampling information. The apparatus further includes a materials properties rendering unit for rendering scene information contained in the selected information, the mixed material information and the sampling information to generate surface material information; and an output unit for visualizing the material information and the surface material information.

Image synthesis apparatus and method supporting measured materials properties

A high-speed marker-free motion capture, which is capable of powerfully detecting a body's feature points corresponding to a body's end portions such as a head, hands, feet, trunk, arms and legs at a high speed in an illumination change or background or noises of cameras. The extracted feature points of the body can be directly tracked stably in a 3-dimensional space. The position errors of the feature points due to the change of the illumination conditions or a shadow can be automatically corrected and the feature points can be stably tracked with respect to overlapping and disappearance of the feature points. Further, when coordinates of the middle joints are estimated using 3-dimensional coordinates of the extracted feature points of the body, the present invention restores a human model by estimating the positions of the middle joints of the actor with high accuracy without using a motion database, thereby securing the stability and reality of the 3-dimensional motion data required in the motion capture.

Apparatus and method for high-speed marker-free motion capture

A three-dimensional animation system using evolutionary computation includes a gene determination unit and a motion generation unit. The gene determination unit calculates modified gene information by receiving at least one genes and modifying the genes evolutionarily. The motion generation unit receives motion data and modifies the motion data based on the modified gene information. A three-dimensional animation method is also disclosed.

Three-dimensional animation system and method using evolutionary computation

In a method for controlling a posture of an articulated object, a user inputs an initial configuration of the object, a base point, an end point, a target point and a method for updating the posture. It is determined whether the number of joints positioned between the base and the end points is larger than or equal to three. If the number is smaller than or equal to two, it is determined whether the method for updating the posture is a two-segment or three-segment based method or another method for moving an intermediate end point. If the method is two-segment or three-segment based, the number is rechecked. If the number is smaller than or equal to two, the posture is modified according to the two-segment or three-segment based method. If the posture satisfies a predetermined condition, it is displayed on a screen.

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Daejeon, South Korea

Seung Woo Nam