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 is a method for automatically recognizing correspondence between calibration pattern feature points in camera calibration. The method for automatically recognizing correspondence between calibration pattern feature points in camera calibration includes generating calibration pattern candidates from an input image using a point-line-face-multi-face hierarchical structure, and performing verification on the calibration pattern candidates based on a preset verification condition.
Abstract:
An apparatus and method for managing a teeth model. The apparatus for managing a teeth model includes a database for storing a 3D intraoral structure image and a 3D teeth model image generated by scanning a healthy intraoral structure and teeth of a user; a generation unit for generating a damaged tooth model image by scanning a damaged tooth when the tooth of the user is damaged; and a modeling unit for modeling any one of a dental prosthesis and an artificial tooth by comparing the damaged tooth model image and the image stored in the database.
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:
A 3D scanning apparatus and method using lighting based on a smart phone. The 3D scanning apparatus includes: an image capturing unit for capturing the image of a 3D object using a camera and a lighting apparatus installed in a terminal; an image processing unit for generating a color-enhanced image corresponding to the light emitted by the lighting apparatus; and a scanning unit for scanning the 3D object in 3D by extracting a scan area from the color-enhanced image based on the light and by extracting position information corresponding to the scan area.
Abstract:
An image processing apparatus and method for calibrating a depth of a depth sensor. The image processing method may include obtaining a depth image of a target object captured by a depth sensor and a color image of the target object captured by a color camera; and calibrating a depth of the depth sensor by calibrating a geometrical relation between a projector and a depth camera, which are included in the depth sensor, based the obtained depth and color images and calculating a correct feature point on an image plane of the depth camera that corresponds to a feature point of an image plane of the projector.
Abstract:
Disclosed herein are an apparatus and method for calibrating an augmented-reality image. The apparatus includes a camera unit for capturing an image and measuring 3D information pertaining to the image, an augmented-reality image calibration unit for generating an augmented-reality image using the image and the 3D information and for calibrating the augmented-reality image, and a display unit for displaying the augmented-reality image.
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.