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:
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:
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 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 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:
A camera auxiliary device for privacy protection and a privacy protection method using the camera auxiliary device. The camera auxiliary device for privacy protection includes a processor for splitting an input light beam that is reflected from a capturing target into a first input beam for detecting a privacy protection area and a second input beam to be transferred to a camera connected to a user terminal, detecting a privacy protection area in an image signal generated based on the first input beam, and converting the second input beam and then transferring a converted second input beam to the camera so that personal information included in the privacy protection area is not visually identified, and a memory for storing the image signal and the privacy protection area.
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 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.