Electronics and Telecommunications Research Institute

Industry-university Cooperation Foundation Hanyang University

Bon Ki Koo

Chang Woo Chu

Ji Hyung Lee

Ho Won Kim

Il Kyu Park

Jin Sung Choi

Seung Wook Lee

Bo Youn Kim

Ji Young Park

Hee Jeong Kim

Seong Jae Lim

Bon Woo Hwang

Jin Seo Kim

Kap Kee Kim

Yoon-Seok Choi

Jeung Chul Park

Young Mi Cha

Jae Hean Kim

Jae Chul Kim

Seung Hyup Shin

Sung Ye Kim

Do Hyung Kim

Seung Woo Nam

Ki Nam Kim

Young Jik Lee

Tae Joon Kim

Young Hee Kim

Maeng Sub Cho

Myung Ha Kim

Seung Uk Yoon

Seung Taik Oh

Kyu Sung Cho

Sung Ryull Sohn

Man Jai Lee

Seong Jin Park

Il Kwon Jeong

Sang Hyun Joo

Hyun Joon Kang

Euee Seon Jang

Dong Won Han

Kyung Ho Jang

Yun Ji Ban

Gil Haeng Lee

Kwang Hyun Shim

Hye Sun Kim

In Kyu Park

Hye Ryeong Jun

Hwan-gue Cho

Dong-Sung Ryu

Han Byul Joo

Won-Il Hwang

Bong-Kyung Chun

Seungtaik Oh

Seong-gyu Park

Jong-Myung Kim

Sun-Woo Yang

Jung-Ju Choi

Chi-Jung Hwang

Janghee Kim

Jae Hoo Lee

Manjai Lee

Seong Jae Lin

Daiyong Kim

Byoungjun Kim

Jaebum Jun

Giseok Son

Jang Hee Kim

Soon Hyoung Pyo

Byung Seok Roh

Kyoung Soo Son

Provided is a method and apparatus for reconstructing a three-dimensional (3D) face based on a stereo camera, the method including: acquiring n images of a target by controlling a plurality of stereo cameras in response to an image acquirement request, wherein n denotes a natural number; extracting n face regions from the n images, respectively; and reconstructing a viewpoint-based face image based on the n face regions.

Method and apparatus for reconstructing 3D face with stereo camera

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 primitive fitting apparatus is provided. The primitive fitting apparatus may include a selecting unit to receive, from a user, a selection of points used to fit a primitive a user desires to fit from a point cloud, an identifying unit to receive a selection of the primitive from the user and to identify the selected primitive, and a fitting unit to fit the primitive to correspond to the points, using the points and primitive.

Primitive fitting apparatus and method using point cloud

Provided is an apparatus and method for extracting a movement path, the movement path extracting apparatus including an image receiver to receive an image from a camera group in which a mutual positional relationship among cameras is fixed, a geographic coordinates receiver to receive geographic coordinates of a moving object on which the camera group is fixed, and a movement path extractor to extract a movement path of the camera group based on a direction and a position of a reference camera of the camera group using the image and the geographic coordinates.

Apparatus and method for extracting movement path of mutual geometric relationship fixed camera group

Provided are three-dimensional (3D) data processing apparatus and method. 3D stereoscopic image common format data preserving common 3D image information is defined by converting 3D stereoscopic image data of each format to apply the same 3D image processing algorithm to 3D data of various formats, and native format data of each format is maintained to maintain merits of each format, and a format-specific algorithm table is maintained with respect to a common 3D image processing function, whereby the same 3D image processing algorithm may be applied to various 3D data and a unique algorithm allowing for maintaining the merits of each 3D data may be applied.

3-dimensional data processing apparatus and method

A method of fitting a virtual item using a human body model and a system for providing a fitting service of a virtual item are provided, the method including determining whether a user is located in an experience area, loading a three-dimensional (3D) standard avatar corresponding to setting information input by the user when the user is located in the trial area, obtaining a depth image of the user corresponding to a preset posture, transforming the 3D standard avatar into a user avatar reflecting body characteristics of the user, using a depth image of the user, fitting a virtual item selected by the user to the user avatar, and applying a motion of the user changing in real time to the user avatar to which the virtual item is fitted.

Method of fitting virtual item using human body model and system for providing fitting service of virtual item

Disclosed are a method and an apparatus for reconstructing three-dimensional (3D) clothing using captured image information on clothing, which capture image information on clothing put on a mannequin, generate a temporary model using the captured image information, and generate a final clothing model using the temporary model.

Apparatus and method of reconstructing 3D clothing model

A 3-dimensional (3D) whole shape reconstruction apparatus using a depth image and a color image and a 3D whole shape reconstruction method are provided. The 3D whole shape reconstruction apparatus may include an information generation unit to generate shape information of 3D portions using a depth image and a color image, and a shape reconstruction unit to reconstruct a 3D whole shape of a user by matching the shape information of 3D portions.

3-dimensional shape reconstruction device using depth image and color image and the method

The present invention provides a local multi-resolution 3-D face-inherent model generation apparatus, including one or more 3-D facial model generation cameras for photographing a face of an object at various angles in order to obtain one or more 3-D face models, a 3-D face-inherent model generation unit for generating a 3-D face-inherent model by composing the one or more 3-D face models, a local photographing camera for photographing a local part of the face of the object, a control unit for controlling the position of the local photographing camera on the 3-D face-inherent model, and a local multi-resolution 3-D face-inherent model generation unit for generating a local multi-resolution face-inherent model by composing an image captured by the local photographing camera and the 3-D face-inherent model, a local multi-resolution 3-D face-inherent model generation using the local multi-resolution 3-D face-inherent model generation apparatus, and a skin management system.

Local multi-resolution 3-D face-inherent model generation apparatus and method and facial skin management system

Disclosed are an apparatus and a method of producing a 3D model in which a 3D model having a static background is produced using a point cloud and an image obtained through 3D scanning. The apparatus includes an image matching unit for producing a matched image by matching a point cloud obtained by scanning a predetermined region to a camera image obtained by photographing the predetermined region; a mesh model processing unit for producing an object positioned in the region as a mesh model; and a 3D model processing unit for producing a 3D model for the object by reflecting texture information obtained from the matched image to the mesh model. The disclosed may be used for a 3D map service.

Apparatus and method of producing 3D model

Disclosed is a method of calibrating a depth image based on a relationship between a depth sensor and a color camera, and an apparatus for calibrating a depth image may include a three-dimensional (3D) point determiner to determine a 3D point of a camera image and a 3D point of a depth image simultaneously captured with the camera image, a calibration information determiner to determine calibration information for calibrating an error of a depth image captured by the depth sensor and a geometric information between the depth sensor and a color camera, using the 3D point of the camera image and the 3D point of the depth image, and a depth image calibrator to calibrate the depth image based on the calibration information and the 3D point of the depth image.

Apparatus and method for calibrating depth image based on relationship between depth sensor and color camera

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

The present invention relates to a system for storing and managing a comment on content in a social community, and enabling another user to retrieve content or a comment. In particular, the present invention may generate image comments for target content from users of a social community, and summarize the generated imaged comments.

Visual ontological system for social community

A method of deforming a shape of a human body model includes the steps of reorganizing human body model data into a joint-skeleton structure-based Non-Uniform Rational B-spline (NURBS) surface model, generating statistical deformation information about control parameters of the NURBS surface model based on parameters of joints and key section curves for specific motions, and deforming the shape of the human body model based on the NURBS surface model and the statistical deformation information. The human body model data includes three-dimensional (3D) human body scan data and a 3D polygon mesh.

Method and apparatus for deforming shape of three dimensional human body model

The present invention relates to a method of creating an animatable digital clone includes receiving input multi-view images of an actor captured by at least two cameras and reconstructing a three-dimensional appearance therefrom, accepting shape information selectively based on a probability of photo-consistency in the input multi-view images obtained from the reconstruction and transferring a mesh topology of a reference human body model onto a shape of the actor obtained from the reconstruction. The method further includes generating an initial human body model of the actor via transfer of the mesh topology utilizing sectional shape information of the actor's joints, and generating a genuine human body model of the actor from learning genuine behavioral characteristics of the actor by applying the initial human body model to multi-view posture learning images where performance of a predefined motion by the actor is recorded.

Method of creating animatable digital clone from multi-view images

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Daejeon, South Korea

Bon Ki Koo