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:
An apparatus for determining image data is disclosed, the apparatus including an image data identifier to evaluate a state change resulting from blocking or opening of a sensor, and identify a stabilized state of image data of the sensor in an opened state, and an image data determiner to receive image data identified to be the stabilized state, and determine the received image data to be image data absent an occurrence of interference between the sensor and another sensor through an integrity assessment of the image data.
Abstract:
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.
Abstract:
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.
Abstract:
Provided is a method of operating a rendering server. The method includes identifying at least one object from image information, generating a rendered image for the at least one object, transmitting the rendered image to be displayed on a user terminal, extracting at least one piece of event information corresponding to a specific time period from the image information, and providing the at least one piece of event information to a host server to be synchronized according to the specific time period.
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.
Abstract:
Provided is a method and apparatus for generating a three-dimensional (3D) caricature. The apparatus for generating a 3D caricature may include a 3D face data generation unit to generate 3D face data of a user corresponding to a shape and a texture of a face of the user, a 3D unique face model generation unit to generate a 3D unique face model using a shape and a texture of a unique face based on the 3D face data and a reference face, and a 3D caricature generation unit to generate a 3D caricature using the 3D unique face model and a caricature base face model.
Abstract:
Provided is a method of providing content in a metaverse environment, the method including: providing, by a content providing apparatus, content to a user of a metaverse; acquiring, by the content providing apparatus, user responsiveness information of the user corresponding to the content; acquiring, by the content providing apparatus, a user responsiveness based on the user responsiveness information using a multimodal artificial intelligence model; and providing, by the content providing apparatus, modified content based on the user responsiveness to the metaverse environment.