Abstract:
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.
Abstract:
A device and a method for generating dynamic texture map for 3 dimensional digital human are disclosed. The method comprises generating high-quality images from low-quality images including a low-quality object; generating partial high-quality images including a high-quality object by replacing the low-quality object within the low-quality images with the high-quality object within the high-quality images; and generating a high-quality texture map for a 3D model corresponding to the high-quality object using the partial high-quality images.
Abstract:
An apparatus for evaluating the quality of digital human content included in a source input are disclosed. The apparatus comprises a test method generation unit configured to receive test methods including identification information of questions and evaluation methods for the questions, and referring to a pre-stored question list and an evaluation method set, generate at least one of subjective test methods or objective test methods from the test methods. The apparatus comprises an evaluation result acquisition unit configured to obtain subjective evaluation results for the digital human content using the subjective test methods and obtain objective evaluation results for the digital human content using the objective test methods. The apparatus comprises a quality evaluation unit configured to output a final evaluation result for the digital human content based on the subjective evaluation results and the objective evaluation results
Abstract:
Disclosed is a method and apparatus for creating a three-dimensional (3D) montage. The apparatus for creating a 3D montage may include an image information extraction unit to extract image information from a face image to be reconstructed, using a face area based on statistical feature information and a feature vector, a 3D unique face reconstruction unit to reconstruct a 3D unique face model by fitting a 3D standard face model to face images of each view for the face image and feature information of each part for the face area, a 3D montage model generation unit to generate a 3D montage model by combining the reconstructed 3D unique face model with 3D face expression model information and 3D decoration model information, and a montage image generation unit to generate a montage image by projecting the generated 3D montage model from each view.
Abstract:
Provided is a rendering method and a device for improving realism of a rendered image. The method includes receiving training image data including a real image, generating a rendering simulation image using the training image data, acquiring background feature information by separating foreground and background areas on the basis of the rendering simulation image or the training image data, acquiring latent feature information required for generating a realistic image on the basis of the rendering simulation image, and generating a realistic image on the basis of the latent feature information and the background feature information.
Abstract:
Disclosed is a method for realistic visualization of a digital human, the method including: setting a specific action of the digital human; determining a scene including the specific action of the digital human and rendering the determined scene to generate a first rendered video; capturing images constituting the first rendered video for each frame to obtain frame data; inputting each piece of the frame data of the first rendered video to two or more realistic visualization modules to obtain frame data of a second rendered video; and combining the frame data of the second rendered video to generate a realistically visualized scene.
Abstract:
A 3D avatar output device and method are disclosed. The 3D avatar output device of a vending machine type may include an input data receiving unit to receive input data including at least one of user information, a 3D avatar theme, and a 3D avatar output form; an image obtaining unit to obtain an image of a user through a camera included in the 3D avatar output device; a restoration model generation unit to generate a restoration model by extracting a facial area from the obtained image; a unique model generation unit to generate a unique model of the user based on the input data and the restoration model; and a 3D avatar output unit to generate a 3D avatar corresponding to the unique model and output the 3D avatar according to the 3D avatar output form.
Abstract:
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.
Abstract:
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.
Abstract:
Provided is a three-dimensional (3D) object authoring apparatus for 3D printing. In the three-dimensional (3D) object authoring apparatus, a plurality of example objects having design components desired by a user may be created from a small number of previously created initial example objects by using a mesh deformation method in a nonlinear feature space. The 3D object desired by a user may be created by linearly composing example objects, having design components desired by the user, among a plurality of previously created example object.