Abstract: The present disclosure provides a method and apparatus for reconstructing 3D information of an object. The method of reconstructing 3D information of an object may include: reconstructing 3D information of a background space, using at least one of images of the background space for three-dimensionally reconstructing the object; separating the object from the background space on the basis of at least one of images of the object in the background space, and of obtaining a depth image of the object separated from the background space; and generating 3D information of the object based on images taken by at least one of cameras in consideration of position relationships between the depth image of the object and the cameras.

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 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 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: Provided is a method of reconstructing a three-dimensional (3D) model of an object. The method includes sequentially performing, by a camera module, first and second object scanning processes of scanning the same object, reconstructing, by a processor module, a 3D object model, based on a first object image obtained through the first object scanning process, performing pose learning on an object to generate learning data, based on data obtained through a process of reconstructing the 3D object model based on the first object image, and reconstructing, by the processor module, a final 3D object model, based on a second object image obtained through the second object scanning process and the learning data.

Abstract: A switching circuit is provided. The switching circuit includes at least one Surface Acoustic Wave (SAW) filter, a Single-Pole n Throw (SPnT) switch connected to an input port of each of the at least one SAW filter, and a Dual-Pole n Throw (DPnT) switch connected to an output port of each of the at least one SAW filter.

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: The present invention relates to a method and apparatus for providing a realistic 2D/3D AR experience service based on a video. Particularly, the present invention provides a method of providing a realistic AR service with high quality based on AR by using a 2D video image and 3D information in association thereto at the same time, filming a cybernaut and AR content by using two sensors having viewpoints different from each other, and arranging 2D/3D content being an object to be matched within the AR content and which has a 3D position different to a position of the cybernaut in association with a dynamic 3D position of the cybernaut and with a dynamic viewpoint of a service sensor.

Abstract: Disclosed herein are a virtual content-mixing method for augmented reality and an apparatus for the same. The virtual content-mixing method includes generating lighting physical-modeling data based on actual lighting information for outputting virtual content, generating camera physical-modeling data by acquiring a plurality of parameters corresponding to a camera, and mixing the virtual content with an image that is input through an RGB camera, based on the lighting physical-modeling data and the camera physical-modeling data.

Abstract: A switching circuit is provided. The switching circuit includes at least one Surface Acoustic Wave (SAW) filter, a Single-Pole n Throw (SPnT) switch connected to an input port of each of the at least one SAW filter, and a Dual-Pole n Throw (DPnT) switch connected to an output port of each of the at least one SAW filter.

Abstract: An apparatus for generating a 3D printing model using multiple textures includes a template model storage unit configured to store template models that are 3D models previously manufactured to be printable, a 3D model conversion unit configured to, upon receiving a 3D input model and a texture image, perform mesh deformation on the template model stored in the template model storage unit by using geometric information about the 3D input model, a texture processing unit configured to assign the texture image to the 3D model having being subjected to the mesh deformation, and a 3D printing model output unit configured to output a geometric model and a texture image of the template model which are finally calculated.

Abstract: Disclosed is a method of performing geometric correction on images obtained by multiple cameras and an image obtainment apparatus therefor, the method including: receiving the images obtained by the multiple cameras; extracting feature points of the received images and checking an interrelation between the extracted feature points; estimating locations and directions of the cameras, which respectively obtain the images, by using the interrelation between the feature points; calculating a relative geometric relationship between the multiple cameras from the estimated locations and directions of the cameras when the received images are determined as the images obtained by the multiple cameras with a fixed geometric interrelationship; and performing the geometric correction on each of the images by using the calculated geometric relationship.

Abstract: The present invention relates to a method and apparatus for providing a realistic 2D/3D AR experience service based on a video. Particularly, the present invention provides a method of providing a realistic AR service with high quality based on AR by using a 2D video image and 3D information in association thereto at the same time, filming a cybernaut and AR content by using two sensors having viewpoints different from each other, and arranging 2D/3D content being an object to be matched within the AR content and which has a 3D position different to a position of the cybernaut in association with a dynamic 3D position of the cybernaut and with a dynamic viewpoint of a service sensor.

Abstract: Disclosed is a method of reconstructing a three-dimensional color mesh and an apparatus for the same. According to an embodiment of the present disclosure, the method includes: receiving mesh information of an object, multiple multi-view images obtained by photographing the object at different positions, and camera parameter information corresponding to the multiple multi-view images; constructing a texture map with respect to the object on the basis of the received information and setting a texture patch referring to a color value of the same multi-view image; correcting a color value of a vertex included for each texture patch; and performing rendering with respect to the object by applying the corrected color value of the vertex to the texture map.

Abstract: The present disclosure provides a method and apparatus for reconstructing 3D information of an object. The method of reconstructing 3D information of an object may include: reconstructing 3D information of a background space, using at least one of images of the background space for three-dimensionally reconstructing the object; separating the object from the background space on the basis of at least one of images of the object in the background space, and of obtaining a depth image of the object separated from the background space; and generating 3D information of the object based on images taken by at least one of cameras in consideration of position relationships between the depth image of the object and the cameras.

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: The present invention relates to a particle beam mass spectrometer and particle measurement method by means of same. More particularly, the present invention relates to a particle beam mass spectrometer including: a particle focusing unit focusing a particle beam induced by gas flow; an electron gun forming a charged particle beam by accelerating thermal electrons to ionize the particle beam focused by the particle focusing unit; a deflector deflecting the charged particle beam according to kinetic energy to charge ratio; and a sensing unit measuring a current induced by the deflected charged particle beam, wherein the deflector includes at least one particle beam separation electrode provided at each of opposite sides with respect to a progress axis of the charged particle beam before being deflected.

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 reconstructing a 3D model. The apparatus for reconstructing a 3D model includes an image acquisition unit for acquiring multi-view images by receiving image signals captured by multiple drones using cameras, a geometric calibration unit for estimating motion variables of the drones based on the acquired multi-view images, and a 3D model creation unit for reconstructing a 3D model of a dynamic object from the matched multi-view images using a multi-view stereo method.

Abstract: An apparatus and method for providing augmented reality-based realistic experience. The apparatus for providing augmented reality-based realistic experience includes a hardware unit and a software processing unit. The hardware unit includes a mirror configured to have a reflective characteristic and a transmissive characteristic, a display panel configured to present an image of an augmented reality entity, and a sensor configured to acquire information about a user. The software processing unit presents the augmented reality entity via the display panel based on the information about the user from the hardware unit after performing color compensation on the color of the augmented reality entity.