Electronics and Telecommunications Research Institute

Industry-university Cooperation Foundation Hanyang University

Hanwha Chemical Corporation

Hanwha Solutions Corporation

Seong Jae Lim

Bon Ki Koo

Ho Won Kim

Ji Young Park

Chang Woo Chu

Bon Woo Hwang

Jeung Chul Park

Jin Sung Choi

Seung Wook Lee

Seung Uk Yoon

Chang Joon Park

Ji Hyung Lee

Jin Seo Kim

Dong Ok Kim

Il Kyu Park

Kap Kee Kim

Young Jik Lee

Tae-Joon Kim

Euee Seon Jang

Ui Gab Joung

Dong Wook Jeong

Jae Chul Kim

Yoon-Seok Choi

Tae Uk Jeong

Hye Ran Park

Yu Jeong Lim

Hye Ryeong Jun

Giseok Son

Sei Ung Park

Ju Suk Ryu

Daiyong Kim

Byoungjun Kim

Kyoung Soo Son

In Jae Baek

Jaebum Jun

Han Byul Joo

Il Hwae Ku

A method and a system for generating a 3D image of a character through steps of: receiving an identifier of a template and a two-dimensional (2D) image of the character generated based on the template corresponding to a type of the character; acquiring template information of the template from a template library by using the identifier, and extracting an effective parameter for machine learning to be performed to generate the 3D image based on the template information and the 2D image; and generating the 3D image of the character by performing the machine learning based on the effective parameter and the template information are provided.

Method and system for generating 3D image of character

An apparatus for generating a 3D printing model using multiple textures includes a template model storage unit configured to store template models that are 3D models previously manufactured to be printable, a 3D model conversion unit configured to, upon receiving a 3D input model and a texture image, perform mesh deformation on the template model stored in the template model storage unit by using geometric information about the 3D input model, a texture processing unit configured to assign the texture image to the 3D model having being subjected to the mesh deformation, and a 3D printing model output unit configured to output a geometric model and a texture image of the template model which are finally calculated.

Apparatus and method for generating 3D printing model using multiple textures

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 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

Provided is a method for automatic rigging and shape surface transfer of a 3-D standard mesh model based on muscles and Nurbs by using parametric control. In some embodiments, the method includes: extracting a joint-skeleton structure from scan data of dynamic objects having a skeleton structure, or input 3-D mesh models, generating a muscle and an appearance surface based on anatomy information, and generating a standard mesh model that approximates the appearance of the dynamic objects by using the joint-skeleton structure and the generated muscle and appearance surface; and performing the shape surface transfer of the standard mesh model by comparing multi-view image information of the dynamic objects with projection image information of the standard mesh model.

Method for automatic rigging and shape surface transfer of 3D standard mesh model based on muscle and nurbs by using parametric control

A method for creating a 3D face model by using multi-view image information, includes: creating a mesh structure for expressing an appearance of a 3D face model by using a first multi-view image obtained by capturing an expressionless face of a performer; and locating joints of a hierarchical structure in the mesh structure, by using a second multi-view image obtained by capturing an expression performance of the performer. Further, the method includes creating a 3D face model that is animated to enable reproduction of a natural expression of the performer, by setting dependency between the joints and the mesh structure.

Method and apparatus for creating 3D face model by using multi-view image information

An apparatus for 3D mesh compression based on quantization, includes a data analyzing unit () for decomposing data of an input 3D mesh model into vertices information () property information () representing property of the 3D mesh model, and connectivity information () between vertices constituting the 3D mesh model: and a mesh model quantizing unit () for producing quantized vertices and property information of the 3D mesh model by using the vertices, property and connectivity information (). Further, the apparatus for 3D mesh compression based on quantization includes a decision bit encoding unit () for calculating a decision bit by using the quantized connectivity information and then encoding the quantized vertex information, property information and connectivity information () by using the decision bit.

Method and apparatus for real time 3D mesh compression, based on quanitzation

Provided is barium titanate based powder represented by Chemical Formula 1:(BaRR)(TiRR)O&#x2003;&#x2003;[Chemical Formula 1]

Fine barium titanate powder

A method for producing a 3D facial animation using a single facial video stream, includes producing a representative joint focused on a major expression producing element in a 3D standard facial model, producing a statistical feature-point model of various facial expressions of different people in the 3D standard facial model, moving each feature-point of the statistical feature-point model by tracking a change in facial expressions of the video stream, calculating a transformation coefficient of the representative joint corresponding to a variation of the feature-point of the 3D standard facial model, and producing a 3D facial animation by applying the calculated transformation coefficient to transform the representative joint.

Method and system for producing 3D facial animation

Provided is a camera self-calibration method that calculates a focal length of a fixed zoom lens camera from a correspondence point position between images. In the method, a cost function, which is a function of a focal length, is defined, and a focal length that minimizes the defined cost function is obtained to obtain a focal length that allows 3D recovery results of correspondence points calculated from all image pairs coincide with one another. Therefore, reliability of the calculated focal length can be easily verified, and the focal length of the camera can be stably calculated even when the position of input correspondence point is inaccurately given.

Apparatus and method for estimating focal length of camera

Growing community of inventors

Daejeon, South Korea

Seong Jae Lim