Abstract:
Disclosed herein are an apparatus and method for generating a training data set for machine learning. The method for generating a training data set, performed by the apparatus for generating the training data set for machine learning, includes generating a 3D model for a deformed 3D character based on 3D data pertaining to the 3D character, generating a 2D image corresponding to the 3D model, and generating the training data set for machine learning, through which the 3D character is generated from the 2D image, using the 2D image and the 3D model.
Abstract:
Disclosed herein are a three-way authentication apparatus and method in a cloud environment. The three-way authentication method in a cloud environment includes performing, by a control device and a service device, mutual authentication through an IF-1 interface, performing, by the control device and a function server, mutual authentication through an IF-2 interface, requesting, by the control device, the function server to issue an authentication token for authentication between the service device and the function server, and delivering an authentication token issued by the function server to the service device, and performing, by the service device, mutual authentication with the function server using the delivered authentication token through an IF-3 interface.
Abstract:
Disclosed herein are an apparatus and method for generating a 3D model. The apparatus for generating a 3D model includes one or more processors, and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive two-dimensional (2D) original image layers for respective viewpoints, and generate pieces of 2D original image information for respective objects by performing original image alignment on the 2D original image layers for respective viewpoints for each predefined object type, generate 3D model layers for respective objects from the pieces of 2D original image information for respective objects using multiple learning models corresponding to the predefined object types, and generate a 3D model by synthesizing the 3D model layers for respective objects.
Abstract:
Disclosed herein are a service server, a user terminal, and a method of 3D collaborative printing providing a 3D collaborative printing service. A method of 3D collaborative printing performed by a 3D collaborative printing system includes generating, by a user terminal, control information to store the control information in a service server; generating, by the service server, a secure token to transmit the secure token to the user terminal; transmitting, by the user terminal, the secure token to one or more 3D printer; receiving, by the one or more 3D printer, the control information corresponding to the secure token from the service server using the secure token; and performing, by the one or more 3D printer, an operation corresponding to the control information.
Abstract:
Disclosed herein is a device and method for supporting 3D object printing and an apparatus for providing a 3D object printing service. A proposed device for supporting 3D object printing includes an information collection unit for collecting preference information of a user and performance information of a 3D printer. A download unit downloads a 3D model that is an object to be printed and model information defined in the 3D model in response to a printable selection signal. A model information creation unit creates new model information based on the 3D model and the model information defined in the 3D model. A print control command generation unit generates a print control command based on the preference information of the user and the performance information of the 3D printer, output from the information collection unit, and the new model information, output from the model information creation unit.
Abstract:
Disclosed herein are an apparatus and method for guiding multi-view capture. The apparatus for guiding multi-view capture includes one or more processors and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive a single-view two-dimensional (2D) image obtained by capturing an image of an object of interest through a camera, generate an orthographic projection image and a perspective projection image for the object of interest from the single-view 2D image using an image conversion parameter that is previously learned from multi-view 2D images for the object of interest, generate a 3D silhouette model for the object of interest using the orthographic projection image and the perspective projection image, and output the 3D silhouette model and a guidance interface for the 3D silhouette model.
Abstract:
Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.
Abstract:
Exemplary embodiments of the present invention provide optimized 3D printings to a user by inserting metadata (i.e., a current model should be printed with a strong heat resistance material) to a 3D object for 3D printing and combining preference of a default printing material which a user desires (i.e., since glass is fragile, it does not like to print with glass) based thereon and printer performance of the user's (i.e., the printer which can print glass and plastic).
Abstract:
Disclosed herein is an apparatus and method for estimating the joint structure of a human body. The apparatus includes a multi-view image acquisition unit for receiving multi-view images acquired by capturing a human body. A human body foreground separation unit extracts a foreground region corresponding to the human body from the acquired multi-view images. A human body shape restoration unit restores voxels indicating geometric space occupation information of the human body using the foreground region corresponding to the human body, thus generating voxel-based three-dimensional (3D) shape information of the human body. A skeleton information extraction unit generates 3D skeleton information from the generated voxel-based 3D shape information of the human body. A skeletal structure estimation unit estimates positions of respective joints from a skeletal structure of the human body using both the generated 3D skeleton information and anthropometric information.
Abstract:
Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.