Abstract: Disclosed herein is a method for generating 3D spatial information. The method may include detecting feature points in an image sequence, creating a sparse point cloud by predicting camera information based on the feature points, creating a mesh based on the sparse point cloud, detecting the line of an object in the image sequence using a deep-learning model, modifying the mesh based on the line, and performing texture mapping on the modified mesh.

Abstract: Disclosed is a separation method including obtaining a mesh model separated into an object unit, based on a segmentation image extracting an object included in an image sequence, updating second label information of the separated mesh model, based on first label information of the segmentation image and a user's input, and updating the separated mesh model, based on the updated second label information, in which an integrated mesh model before being separated into an object unit is generated from the image sequence.

Abstract: Disclosed herein are a method and apparatus for generating a digital surface model using satellite imagery. The method includes correcting a geometric error in input satellite images, generating one or more depth maps using a stereo matching method based on the corrected satellite images, and generating a digital surface model by combining the generated depth maps and by estimating a height value for each location on the ground surface.

Abstract: Disclosed herein are a method and apparatus for matching 3D terrain information based on aerial images captured at different altitudes.

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: Disclosed herein is an operating method of an apparatus for generating 3D geographic data. The operating method may include receiving multi-view images, generating a 3D mesh and texture for a first distance view from the multi-view images, generating hybrid Digital Surface Model (DSM) data for a second distance view using the 3D mesh and the texture, and generating DSM data for a third distance view using the 3D mesh and the texture.

Abstract: Disclosed herein are a method and apparatus for matching 3D terrain information based on aerial images captured at different altitudes.

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: 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: 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: 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: 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: A method of representing a 3D video from a 2D video by use of a node-based task pipeline for 3D video representation, the method implementable by a computer and including generating nodes, each having a defined task sequence required for a 3D video representation, in a node connecting task section provided to a Graphic User Interface (GUI), generating a task pipeline defining a connectivity relationship between the generated nodes, providing a user interface that is configured to operate user-defined data that is to be used by a certain node of the task pipeline, and generating user-defined data based on a user input that is input through the user interface, and outputting a 3D video from an input 2D video by use of the task pipeline and the user-defined data.

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: 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 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 for transforming image includes: a depth map generating unit generating a depth map of a 2D image; a rendering unit rendering a left-eye image and a right-eye image depending on the depth map; a hole removing unit removing holes of the left-eye image and the right-eye image; and a synthesizing unit synthesizing the left-eye image and the right-eye image to render a 3D image.

Abstract: An apparatus for converting a 2D video into a 3D video updates a plurality of segmentation images of a previous frame by using motion information with respect to each frame, applies depth information of each segmentation image of the previous frame to a corresponding segmentation image of a subsequent frame to create a depth map image of each frame, and creates a stereoscopic image of each frame by using the depth map image of each frame.

Abstract: A method of representing a 3D video from a 2D video by use of a node-based task pipeline for 3D video representation, the method implementable by a computer and including generating nodes, each having a defined task sequence required for a 3D video representation, in a node connecting task section provided to a Graphic User Interface (GUI), generating a task pipeline defining a connectivity relationship between the generated nodes, providing a user interface that is configured to operate user-defined data that is to be used by a certain node of the task pipeline, and generating user-defined data based on a user input that is input through the user interface, and outputting a 3D video from an input 2D video by use of the task pipeline and the user-defined data.

Abstract: Disclosed are a system for making 3D contents provided with visual fatigue minimization and a method of the same. More particularly, an exemplary embodiment of the present invention provides a system for making 3D contents including: a human factor information unit generating guide information for making 3D contents by considering factors causing visual fatigue of the 3D contents; and a 3D contents making unit applying guide information generated by the human factor information unit to 3D contents data inputted for making the 3D contents to make the 3D contents, and a method of making 3D contents.