Abstract:
The 3D information generating device includes a light source unit configured to irradiate light onto a target object, a coordinate mechanism unit disposed between the target object and the light source unit and including a plurality of inclined projections reflecting the light, a camera unit configured to output an image obtained by simultaneously photographing the coordinate mechanism unit and the target object, and an information processing unit configured to check a projection plane formed by the light of the light source unit and, by using the projection plane, generate 3D information about the target object while calibrating an error. Accordingly, an unskilled user may easily perform a 3D scan operation by using the coordinate mechanism unit, and moreover, since a coordinate mechanism is not installed in the outside, the 3D information generating device may easily move and may be easily maintained and managed.
Abstract:
Disclosed is a method of detecting and correcting an error in a 3D mesh model. According to the present disclosure, the method includes: determining at least one mesh on the basis of half-edge information; setting at least one cluster including the at least one mesh, on the basis of normal vector information on the at least one mesh; detecting a flip error of the at least one cluster; and correcting the at least one mesh in the at least one cluster in which the flip error is detected.
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:
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 3-dimensional face model includes a multi-view image capturer configured to sense a motion of the mobile device and automatically capture still images from two or more directions; and a 3D model generator configured to generate a 3D face mode using the two or more still images obtained by the multi-view image capturer.
Abstract:
Provided is an apparatus and method for extracting a movement path, the movement path extracting apparatus including an image receiver to receive an image from a camera group in which a mutual positional relationship among cameras is fixed, a geographic coordinates receiver to receive geographic coordinates of a moving object on which the camera group is fixed, and a movement path extractor to extract a movement path of the camera group based on a direction and a position of a reference camera of the camera group using the image and the geographic coordinates.
Abstract:
Disclosed are a method and an apparatus for reconstructing three-dimensional (3D) clothing using captured image information on clothing, which capture image information on clothing put on a mannequin, generate a temporary model using the captured image information, and generate a final clothing model using the temporary model.
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:
Provided are three-dimensional (3D) data processing apparatus and method. 3D stereoscopic image common format data preserving common 3D image information is defined by converting 3D stereoscopic image data of each format to apply the same 3D image processing algorithm to 3D data of various formats, and native format data of each format is maintained to maintain merits of each format, and a format-specific algorithm table is maintained with respect to a common 3D image processing function, whereby the same 3D image processing algorithm may be applied to various 3D data and a unique algorithm allowing for maintaining the merits of each 3D data may be applied.
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.