Abstract: Provided is a method and apparatus for registering metadata regarding a drone image. The apparatus for registering metadata regarding a drone image acquires captured data, and parses metadata from the captured data. The apparatus for registering metadata regarding a drone image generates new metadata using additional information and the parsed metadata, and registers the generated new metadata and the captured data to generate new captured data.

Abstract: Disclosed herein are an apparatus and method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones. The method for providing a wide-area precision agriculture service based on collaboration between heterogeneous drones includes transferring first mission information including photography of an entirety of arable land to a fixed-wing drone, receiving first drone data corresponding to the first mission information from the fixed-wing drone, and analyzing the entire agricultural arable land based on the first drone data, and transferring detailed mission information generated based on a result of analysis of the entire agricultural arable land to at least one rotary-wing drone.

Abstract: A resource resettable deep neural network accelerator according to an embodiment of the present disclosure includes: a memory layer including a scratchpad memory layer configured to divide deep neural network parameter data (hereinafter, data) in an external memory layer into a plurality of tiles and to load the divided tiles, and a register file memory layer configured to load tiled data of the scratchpad memory layer; and a plurality of cores configured to process an inference operation for the data loaded in the register file memory layer, wherein the memory layer includes a virtual tiling layer added to a certain location for loading the tiled data from a previous memory layer so as to correspond to a specific tiling size.

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: An apparatus and method for modeling a cultural heritage building, which may intuitively model a 3D digital cultural heritage building while exhibiting the characteristics of the 3D digital cultural heritage building, through the use of a touch screen UI on a smart mobile device in a place where it is difficult to use a PC or existing software. The disclosed apparatus includes a measured drawing arrangement unit for displaying, on a touch screen, measured drawings that include information about members constituting a cultural heritage building, a member model generation unit for performing modeling based on multiple points input via the touch screen, thus generating 3D member models, a database for storing the member models generated by the member model generation unit, and a member arrangement unit for arranging each of the stored member models at an original location thereof based on the measured drawings.

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 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 and method for creating a block-type structure using sketch-based user interaction. The apparatus for creating a block-type structure includes a voxel modeling unit for modeling a sketch, input via an interface, into a three-dimensional (3D) voxel model, a block-type structure creation unit for modeling the 3D voxel model into a block-type structure into which blocks stored in a block database are assembled, based on the stored blocks, and a control unit for performing feedback for a procedure for modeling the block-type structure, based on the interaction of a user using the interface.

Abstract: An apparatus and method for modeling a cultural heritage building, which may intuitively model a 3D digital cultural heritage building while exhibiting the characteristics of the 3D digital cultural heritage building, through the use of a touch screen UI on a smart mobile device in a place where it is difficult to use a PC or existing software. The disclosed apparatus includes a measured drawing arrangement unit for displaying, on a touch screen, measured drawings that include information about members constituting a cultural heritage building, a member model generation unit for performing modeling based on multiple points input via the touch screen, thus generating 3D member models, a database for storing the member models generated by the member model generation unit, and a member arrangement unit for arranging each of the stored member models at an original location thereof based on the measured drawings.

Abstract: Disclosed herein is an apparatus and method for interaction between content and an olfactory recognition device. In the method for interaction between an olfactory recognition device and a content device, the method allows the olfactory recognition device to interact with the content device. If a connection to the content device has been made to enable data communication with the content device, an open signal is transmitted to the content device. As a response to the open signal, an approval signal is received from the content device. A device information datasheet that is information about the olfactory recognition device is transmitted to the content device in response to the approval signal. An acknowledgement signal is received from the content device.