Abstract:
An apparatus and method for measuring the position of a stereo camera. The apparatus for measuring a position of the camera according to an embodiment includes a feature point extraction unit for extracting feature points from images captured by a first camera and a second camera and generating a first feature point list based on the feature points, a feature point recognition unit for extracting feature points from images captured by the cameras after the cameras have moved, generating a second feature point list based on the feature points, and recognizing actual feature points based on the first feature point list and the second feature point list, and a position variation measurement unit for measuring variation in positions of the cameras based on variation in relative positions of the actual feature points.
Abstract:
Method and apparatus for calibrating multiple cameras. A first mirror and a second mirror are arranged opposite each other. An object is disposed between the first mirror and the second mirror. Calibration of the multiple cameras is performed using a figure of the object formed on the second mirror via reflection from the first mirror and the second mirror.
Abstract:
Disclosed herein is an apparatus for synchronization with a virtual avatar. The apparatus may include a body part detection unit for detecting a human body part in an input 2D image, a visible body part estimation unit for estimating the shape and pose of a visible body part based on the detected body part, an invisible body part generation unit for generating a shape and pose of an invisible body part based on the body part and the shape and pose thereof, a body estimation unit for estimating a full-body shape and pose based on the shape and pose of the visible body part and the shape and pose of the invisible body part, and a virtual avatar synchronization unit for encoding and transmitting the estimated full-body shape and pose information for synchronization with a virtual avatar modeled in advance in a server.
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:
An apparatus and method for reconstructing an experience item in 3D. The apparatus for reconstructing an experience item in 3D includes a 3D data generation unit for generating 3D data by reconstructing the 3D shape of a target object to be reconstructed in 3D, a 2D data generation unit for generating 2D data by performing 2D parameterization on the 3D data, an attribute setting unit for assigning attribute information corresponding to the target object to the 3D data, an editing unit for receiving editing of the 2D data from a user, and an experience item generation unit for generating an experience item corresponding to the target object using the 3D data corresponding to the edited 2D data and the attribute information.
Abstract:
A 3D multifunctional device in which a 3D printer and a 3D scanner are combined and a method for operating the device. The 3D multifunctional device includes a printing unit that includes a nozzle for ejecting material for 3D printing, a scanning unit that includes a light radiation module for radiating light to an object to be scanned and a camera for capturing an image of the object, a head unit for moving the printing unit and the scanning unit in X-axis and Y-axis directions, a bed plate on which the object to be scanned is located or the ejected material is deposited, the bed plate moving in a Z-axis direction, and a control unit for setting a function by selecting 3D scanning or 3D printing, controlling the scanning unit or the printing unit, and controlling the movements of the head unit and bed plate.
Abstract:
An apparatus and method for generating a 3D model, in which point clouds from a scanner are automatically aligned using marker information, with markers attached to an object. The apparatus includes a point cloud refinement unit for receiving point clouds and marker sets from scanning of an object, refining the point clouds, and transmitting refined point clouds and marker sets, a point cloud alignment unit for inquiring of a point cloud and marker set database about a point cloud group of point cloud pairs and a marker set group of marker set pairs, and aligning the point cloud group, wherein the point cloud pairs and the marker set pairs are acquired by scanning a single object in different directions, and a surface generation unit for generating a 3D model by reconstructing a surface of the object based on the aligned point cloud group.
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:
A method for 3D printing of an object that is larger than the printing area of a 3D printer and a device using the method. The 3D printing method includes receiving 3D mesh data of the object, determining whether the 3D mesh data is included in the printing area of the 3D printer, generating partitioned mesh objects by partitioning the 3D mesh data if the 3D mesh data is not included in the printing area of the 3D printer, forming a connector for connecting the partitioned mesh objects, arranging the partitioned mesh Objects in the printing area, and printing the arranged partitioned mesh objects in 3D.
Abstract:
Method and apparatus for augmented-reality rendering on a mirror display based on motion of an augmented-reality target. The apparatus includes an image acquisition unit for acquiring a sensor image corresponding to at least one of a user and an augmented-reality target, a user viewpoint perception unit for acquiring coordinates of eyes of the user using the sensor image, an augmented-reality target recognition unit for recognizing an augmented-reality target, to which augmented reality is to be applied, a motion analysis unit for calculating a speed of motion corresponding to the augmented-reality target based on multiple frames, and a rendering unit for performing rendering by adjusting a transparency of virtual content to be applied to the augmented-reality target according to the speed of motion and by determining a position where the virtual content is to be rendered, based on the coordinates of the eyes.