Electronics and Telecommunications Research Institute

Kyung Ho Jang

Hae Dong Kim

Seung Woo Nam

Myung Ha Kim

Jung Jae Yu

Ho Wook Jang

Yun Ji Ban

Hye-Sun Kim

Bon Ki Koo

Chan Ho Park

Hye Sun Kim

Ung Yeon Yang

Jun Suk Lee

Ik Soon Kim

Seong Won Ryu

Hong Kee Kim

Han Shin Lim

Su Ran Park

Hyung Ki Son

Jae Pil Heo

The present invention provides a system and method for high-precision fire simulation-based virtual fire training interaction that features a fire suppression support virtual fire training interaction that combines a scientific fire simulation (FDS) result expression technology used for fire situation analysis and a real-time interaction technology processing dynamic changes in order to have more realistic training in virtual fire training such as fire suppression.

System and method for high-precision fire simulation-based virtual fire training interaction and method for processing fire simulation-based virtual fire training zone interaction

A fire-fighting virtual reality simulator allows the trainee to move in a virtual space in various complex virtual fire disaster situations and perform a suppression of a virtual fire and a confrontation training. An experience interactive simulator for providing a trainee with a floor movement that may occur in a fire disaster situation so that the trainee wearing HMD in a virtual fire-fighting training has the same sense of feeling as that in an actual fire-fighting training is provided. For the realistic content experience, a physical floor movement, such as tilting, falling, and shaking of the floor is reproduced using a base motion, thereby providing a floor movement that enables a sense of feeling similar to a fire disaster situation.

Realistic fire-fighting training simulator

Provided is a method of removing noise from a sparse depth map. The method includes setting, as nodes, sample points in a sparse depth map including depth information at a certain position of an image plane, constructing a mesh by connecting the set nodes, and removing noise from the meshed node, based on connection information between the meshed node and neighboring nodes adjacent thereto and color information about a color image corresponding to the sparse depth map. A depth value is allocated to each of the sample points.

Apparatus and method of removing noise from sparse depth map

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

Provided is a method of aligning a camera using correspondence information between multi-images. The camera alignment method using correspondences between multi-images includes defining a correspondence relation between images photographed in the multi-camera system, estimating an initial position of the camera using the correspondence relation between the images and a Structure From Motion (SFM) algorithm, redefining a changed correspondence relation between the images as a result of the estimation of the initial position of the camera using a bundle edge to generate an optimal edge, and correcting the position of the camera based on the optimal edge.

Camera alignment method using correspondence between multi-images

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.

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Daegu, South Korea

Kyung Ho Jang