Abstract: Disclosed is a method for moving a real object in a 3D augmented reality. The method may include: dividing a region of the real object in the 3D augmented reality; generating a 3D object model by using first information corresponding to the region of the real object; and moving the real object on the 3D augmented reality by using the 3D object model.

Abstract: An apparatus for enhancing a disparity map generates a disparity map of a reference image by performing stereo matching for each stereo image, divides the reference image into at least one homogeneous area based on a homogeneity criterion, extracts valid disparity values from the disparity map of the reference image, calculates a linear rate of change for the valid disparity values in each homogeneous area divided based on the extracted valid disparity values, and enhances the disparity map by updating invalid disparity values in a corresponding homogeneous area using the linear rate of change calculated for each homogeneous area.

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: Disclosed herein are an apparatus and method for verifying and correcting degree of 3D-printed joints movement. A method for correcting a print position of a three-dimensional (3D) object is performed by a 3D object print position correction apparatus, and includes setting at least one adjacent mesh of a 3D object in which multiple shells are connected to each other through a joint structure, calculating movement degree information for the joint structure of the 3D object using the set adjacent mesh, and correcting a print position of the 3D object such that the print position matches the calculated movement degree information.

Abstract: Disclosed is 3D information processing method and apparatus. The method of processing three-dimensional (3D) information for an object according to an embodiment of the present invention includes converting mesh model-based 3D information into 3D information of a half-edge structure; dividing a shell region of the object on the basis of connection information of half-edges included in the 3D information of the half-edge structure; determining at least one hole region of the object using the 3D information of the half-edge structure; determining at least one hole group obtained by grouping the at least one hole region of the object; and applying face information to the at least one hole group.

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: Disclosed herein are an apparatus and method for verifying and correcting degree of 3D-printed joints movement. A method for correcting a print position of a three-dimensional (3D) object is performed by a 3D object print position correction apparatus, and includes setting at least one adjacent mesh of a 3D object in which multiple shells are connected to each other through a joint structure, calculating movement degree information for the joint structure of the 3D object using the set adjacent mesh, and correcting a print position of the 3D object such that the print position matches the calculated movement degree information.

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: Disclosed herein is an apparatus and method for automatically creating a 3D personalized figure suitable for 3D printing by detecting a face area and features for respective regions from face data acquired by heterogeneous sensors and by optimizing global/local transformation. The 3D personalized figure creation apparatus acquires face data of a user corresponding to a reconstruction target; extracts feature points for respective regions from the face data, and reconstructs unique 3D models of the user's face, based on the extracted feature points; creates 3D figure models based on the unique 3D models and previously stored facial expression models and body/adornment models; and verifies whether each 3D figure model has a structure and a shape corresponding to actual 3D printing, corrects and edits the 3D figure model based on results of verification, and outputs a 3D figure model corresponding to 3D printing.

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: An apparatus and method for assembling 3D printing outputs. The apparatus for assembling 3D printing outputs includes a mesh structuring unit for performing mesh structuring on a segmented surface generated by partitioning a virtual 3D modeled object, a printing unit for selecting the kind and shape of a coupler to be inserted into the segmented surface of the object, modeling a hole in the segmented surface using variables corresponding to the size of the coupler, and printing the partitioned objects, and an assembly unit for inserting the coupler into the hole and assembling the partitioned objects using the coupler.

Abstract: Provided are a system and method for pre-verifying stability such that a 3D printing output can be balanced on the center thereof even without a support or a fixture. The system for pre-verifying stability of a 3D printing output includes a slicing unit configured to slice a 3D object, a distance map creating unit configured to create a distance map of each plane obtained by slicing the 3D object, a safety zone searching unit configured to search for a stability safety zone of the sliced 3D object, a stability verifying unit configured to verify stability of the 3D object using the stability safety zone, and a stability securing unit configured to determine a position of an inner mesh of the 3D object.

Abstract: The present invention provides a local multi-resolution 3-D face-inherent model generation apparatus, including one or more 3-D facial model generation cameras for photographing a face of an object at various angles in order to obtain one or more 3-D face models, a 3-D face-inherent model generation unit for generating a 3-D face-inherent model by composing the one or more 3-D face models, a local photographing camera for photographing a local part of the face of the object, a control unit for controlling the position of the local photographing camera on the 3-D face-inherent model, and a local multi-resolution 3-D face-inherent model generation unit for generating a local multi-resolution face-inherent model by composing an image captured by the local photographing camera and the 3-D face-inherent model, a local multi-resolution 3-D face-inherent model generation using the local multi-resolution 3-D face-inherent model generation apparatus, and a skin management system.

Abstract: Disclosed herein are an apparatus and method for correcting a disparity map. The apparatus includes a disparity map area setting unit, a pose estimation unit, and a disparity map correction unit. The apparatus removes the noise of the disparity map attributable to stereo matching and also fills in holes attributable to occlusion using information about the depth of a 3-dimensional (3D) model produced in a preceding frame of a current frame, thereby improving a disparity map and depth performance and providing high-accuracy depth information to an application to be used.

Abstract: Disclosed herein are an apparatus and method for reconstructing a three-dimensional (3D) face based on multiple cameras. The apparatus includes a multi-image analysis unit, a texture image separation unit, a reconstruction image automatic synchronization unit, a 3D appearance reconstruction unit, and a texture processing unit. The multi-image analysis unit determines the resolution information of images received from a plurality of cameras, and determines whether the images have been synchronized with each other. The texture image separation unit separates a texture processing image by comparing the resolutions of the received images. The reconstruction image automatic synchronization unit synchronizes images that are determined to be asynchronous images by the multi-image analysis unit. The 3D appearance reconstruction unit computes the 3D coordinate values of the synchronized images, and reconstructs a 3D appearance image.

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 automatically creating a 3D personalized figure suitable for 3D printing by detecting a face area and features for respective regions from face data acquired by heterogeneous sensors and by optimizing global/local transformation. The 3D personalized figure creation apparatus acquires face data of a user corresponding to a reconstruction target; extracts feature points for respective regions from the face data, and reconstructs unique 3D models of the user's face, based on the extracted feature points; creates 3D figure models based on the unique 3D models and previously stored facial expression models and body/adornment models; and verifies whether each 3D figure model has a structure and a shape corresponding to actual 3D printing, corrects and edits the 3D figure model based on results of verification, and outputs a 3D figure model corresponding to 3D printing.

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: Disclosed are an apparatus and a method for generating three-dimensional output data, in which the appearance or face of a user is easily restored in a three-dimensional manner by using one or a plurality of cameras including a depth sensor, a three-dimensional avatar for an individual, which is produced through three-dimensional model transition, and data capable of being three-dimensionally output, which is generated based on the three-dimensional avatar for an individual. The apparatus includes an acquisition unit that acquires a three-dimensional model based on depth information and a color image from at least one point of view, a selection unit that selects at least one of three-dimensional template models, and a generation unit that modifies at least one of a plurality of three-dimensional template models selected by the selection unit and generates three-dimensional output data based on the three-dimensional model acquired by the acquisition unit.

Abstract: A system for managing face data includes a global face capturing unit configured to capture a global face image; and a global face data generation unit configured to obtain shape information and texture information of global face data, and generate the global face data. Further, the system includes a local face capturing unit configured to capture a plurality of local face images; and a global face posture extraction unit configured to estimate a position and a direction of the face of a captured user. Furthermore, the system includes a local capturing device posture extraction unit configured to extract posture information of the local face capturing unit; and a local face data generation unit configured to generate texture information and shape information, and generate local face data.