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: 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: 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: A primitive fitting apparatus is provided. The primitive fitting apparatus may include a selecting unit to receive, from a user, a selection of points used to fit a primitive a user desires to fit from a point cloud, an identifying unit to receive a selection of the primitive from the user and to identify the selected primitive, and a fitting unit to fit the primitive to correspond to the points, using the points and primitive.

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: Provided are a multi-primitive fitting method including an acquiring point cloud data by collecting data of each of input points, a obtaining a segment for the points using the point cloud data, and a performing primitive fitting using data of points included in the segment and the point cloud data, and a multi-primitive fitting device that performs the method.

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: Disclosed herein is an apparatus and method for extracting correspondences between aerial images. The apparatus includes a line extraction unit, a line direction determination unit, a building top area extraction unit, and a correspondence extraction unit. The line extraction unit extracts lines corresponding buildings from aerial images. The line direction determination unit defines the directions of the lines as x, y and z axis directions based on a two-dimensional (2D) coordinate system. The building top area extraction unit rotates lines in the x and y axis directions so that the lines are arranged in parallel with the horizontal and vertical directions of the 2D image, and then extracts building top areas from rectangles. The correspondence extraction unit extracts correspondences between the aerial images by comparing the locations of the building top areas extracted from the aerial images.

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: Disclosed are an apparatus and a method of producing a 3D model in which a 3D model having a static background is produced using a point cloud and an image obtained through 3D scanning. The apparatus includes an image matching unit for producing a matched image by matching a point cloud obtained by scanning a predetermined region to a camera image obtained by photographing the predetermined region; a mesh model processing unit for producing an object positioned in the region as a mesh model; and a 3D model processing unit for producing a 3D model for the object by reflecting texture information obtained from the matched image to the mesh model. The disclosed may be used for a 3D map service.

Abstract: A method for rendering point cloud using a voxel grid, includes generating bounding box including all the point cloud and dividing the generated bounding box into voxels to make the voxel grid; and allocating at least one texture plane to each of the voxels of the voxel grid. Further, the method includes orthogonally projecting points within the voxel to the allocated texture planes to generate texture images; and rendering each voxel of the voxel grid by selecting one of the texture planes within the voxel by using central position of the voxel and the 3D camera position and rendering using the texture images corresponding to the selected texture plane.

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.