Abstract: A deep learning-based MLCC stacked alignment inspection system includes an integrated defect detection unit configured to detect core areas requiring inspection of image data in which a stacked structure is photographed from a semiconductor MLCC chip by using at least one deep learning-based core area detection model, perform segmentation in the detected core areas, determine whether a defect exists according to a standard margin percentage range, and enable defect detection by generating normal and/or defective data based on the determination result, a result analysis unit configured to perform visualization for respective results of the core area detection, segmentation, and defect detection of the integrated defect detection unit, and provide stepwise analysis data for the visualized respective results so as to determine whether to modify corresponding data, and a data storage configured to store the normal and/or defective data, and stepwise analysis data.

Abstract: A positive electrode active material particle includes a core that contains lithium cobalt oxide represented by the following Chemical Formula LiaCo(1-x)MxO2-yAy and a shell that is coated on the surface of the core and contains composite metal oxide of a metal with an oxidation number of +2 and a metal with an oxidation number of +3. In particular, M is at least one selected from the group consisting of Ti, Mg, Zn, Si, Al, Zr, V, Mn, Nb and Ni. A is oxygen-substitutional halogen and 1.00?a?1.05, 0?x?0.05, and 0?y?0.001.

Abstract: An integrated circuit device includes a substrate having source and drain recesses therein that are lined with respective silicon-germanium liners and filled with doped semiconductor source and drain regions. A stacked plurality of semiconductor channel layers are provided, which are separated vertically from each other within the substrate by corresponding buried insulated gate electrode regions that extend laterally between the silicon-germanium liners. An insulated gate electrode is provided on an uppermost one of the plurality of semiconductor channel layers. The silicon-germanium liners may be doped with carbon.

Abstract: The present disclosure includes a diorama space generation and construction module configured to construct an AR map by using a user camera image or image data received through a sensor, a diorama environment tracking and location optimization module configured to load the constructed AR map onto an AR device and track a location of the AR device in a diorama space in real time based on image data received in real time, and a multi-user association and event synchronization module including a user interaction module configured to perform user interaction processing, user event information processing and management, and AR content playback configured to perform interaction synchronization processing, content synchronization processing, and user information synchronization processing.

Abstract: Provided are an apparatus and method for managing a feature point map. The method includes generating an initial travel path through which an environmental information collecting entity moves, determining the generated initial travel path as a travel path for detection and controlling the environmental information collecting entity along the determined travel path for detection, receiving environmental information from the environmental information collecting entity, extracting feature point information from the environmental information, generating a feature point map from the feature point information, and storing the feature point map.

Abstract: Provided are an apparatus and method for managing a feature point map. The method includes generating an initial travel path through which an environmental information collecting entity moves, determining the generated initial travel path as a travel path for detection and controlling the environmental information collecting entity along the determined travel path for detection, receiving environmental information from the environmental information collecting entity, extracting feature point information from the environmental information, generating a feature point map from the feature point information, and storing the feature point map.

Abstract: Provided are a mobile-based personal content protection apparatus and method, in which a user sets a mobile terminal to prevent another user from photographing and using personal content with a camera included in the mobile terminal. The mobile-based personal content protection apparatus may include a camera view estimator, a peripheral information receiver, a personal content detector, and a personal content masking unit. A view which is to be photographed by a user is estimated in a space where photographing is allowed by using sensor information included in a mobile terminal, information about whether to allow photographing by each mobile device is collected by cooperating all mobile terminals in a camera view, and a disallowed area is masked in photographing, thereby fundamentally protecting personal content.

Abstract: Provided are a mobile-based personal content protection apparatus and method, in which a user sets a mobile terminal to prevent another user from photographing and using personal content with a camera included in the mobile terminal. The mobile-based personal content protection apparatus may include a camera view estimator, a peripheral information receiver, a personal content detector, and a personal content masking unit. A view which is to be photographed by a user is estimated in a space where photographing is allowed by using sensor information included in a mobile terminal, information about whether to allow photographing by each mobile device is collected by cooperating all mobile terminals in a camera view, and a disallowed area is masked in photographing, thereby fundamentally protecting personal content.

Abstract: An augmented reality device based on recognition of a spatial structure includes: a point cloud normal vector extracting unit extracting a normal vector for a point cloud from image data input from a camera; a plane object segmenting unit segmenting a plane in the image data by using the extracted normal vector; a representative plane selecting unit selecting a representative plane among the segmented planes; a spatial structure extracting unit recognizing a spatial structure by using the representative plane; and a virtual object matching unit matching a virtual object in the recognized spatial structure.

Abstract: An augmented reality-based hand interaction apparatus and method using image information. The augmented reality-based hand interaction apparatus using image information includes an object recognition module configured to extract feature points from an input color image, recognize an object which is a target of interest based on the extracted feature points, and estimate a three-dimensional (3D) posture of the recognized object, and an interaction module configured to extract 3D mesh information from an input depth image, match 3D coordinates of the extracted 3D mesh information with 3D coordinates of the object recognized by the object recognition module to extract 3D position information of the recognized object in 3D space, and detect whether or not an augmented 3D object and the recognized object collide with each other based on relative positional relationship information between the recognized object and the augmented 3D object.

Abstract: A providing apparatus for an augmented reality service includes: a parameter calculating unit calculating camera parameters of a plurality of respective cameras; a mesh information processing unit converting point cloud information based on images obtained from the plurality of respective cameras into mesh information for the plurality of respective cameras and converting the mesh information into a world coordinate for a target space photographed by the plurality of cameras by using the camera parameters; a map generating unit generating a whole map for the target space by considering an area where the converted mesh information for the plurality of respective cameras is duplicated; and an augmentation processing unit augmenting a virtual object to the whole map.

Abstract: An augmented reality device based on recognition of a spatial structure includes: a point cloud normal vector extracting unit extracting a normal vector for a point cloud from image data input from a camera; a plane object segmenting unit segmenting a plane in the image data by using the extracted normal vector; a representative plane selecting unit selecting a representative plane among the segmented planes; a spatial structure extracting unit recognizing a spatial structure by using the representative plane; and a virtual object matching unit matching a virtual object in the recognized spatial structure.

Abstract: An apparatus for extracting a person region based on a red/green/blue-depth (RGB-D) image includes a data input unit configured to match an input RGB image and depth image and output matched RGB-D image data, a region-of-interest (ROI) extractor configured to remove a background image from the matched RGB-D image data from the data input unit, extract an approximate region of a person from an image obtained by removing the background image, and extract an ROI by applying a preset three-dimensional (3D) human model to the approximate person region, a depth information corrector configured to analyze the degree of similarity between the matched RGB image and depth image for the ROI extracted by the ROI extractor and correct the depth image, and a person region extractor configured to extract a person region from the depth image corrected by the depth information corrector.

Abstract: An augmented reality-based hand interaction apparatus and method using image information. The augmented reality-based hand interaction apparatus using image information includes an object recognition module configured to extract feature points from an input color image, recognize an object which is a target of interest based on the extracted feature points, and estimate a three-dimensional (3D) posture of the recognized object, and an interaction module configured to extract 3D mesh information from an input depth image, match 3D coordinates of the extracted 3D mesh information with 3D coordinates of the object recognized by the object recognition module to extract 3D position information of the recognized object in 3D space, and detect whether or not an augmented 3D object and the recognized object collide with each other based on relative positional relationship information between the recognized object and the augmented 3D object.

Abstract: The apparatus for displaying a surveillance area includes: a data receiving unit receiving position information of a camera and data on a photographed image of the camera; a panorama image generating unit generating a panorama image for surrounding of a position of the camera using a surrounding image of the position of the camera; a matching information calculating unit calculating first matching information between the panorama image and the photographed image of the camera and second matching information between a map associated with the panorama image and a geographic information system map; a surveillance area estimating unit estimating the surveillance area of the camera on the basis of the first matching information and the second matching information; and a surveillance area displaying unit displaying the estimated surveillance area on the geographic information system map.

Abstract: Disclosed herein is a frontal face detection apparatus and method using a facial pose. The frontal face detection apparatus includes an image input unit for receiving an input image. A candidate extraction unit extracts a face region candidate and face element candidates from the input image. A face region verification unit verifies, based on a plurality of face element candidates extracted by the candidate extraction unit, whether the extracted face region candidate is a final face region. A face element calculation unit calculates a plurality of final face elements in correspondence with a facial pose score for a final face region including the extracted face element candidates generated based on a predefined average face model. A final frontal face detection unit detects a final frontal face from the final face region including the plurality of final face elements, based on a position pattern between the final face elements.

Abstract: A method for detecting a forged face using an infrared image includes: acquiring an infrared image and a photorealistic image captured by one or two cameras; extracting a face region from the photorealistic image; determining, based on analysis of quality characteristics of the infrared image, whether a current face is a forged face or not; and performing face recognition on the extracted face region if it is determined that the current face is a non-forged face. The method further includes capturing an infrared image and a photorealistic image again through the camera without performing face recognition if it is determined that the current face is a forged face.

Abstract: A forged face detecting method includes: acquiring a photorealistic image and an infrared image of a subject on which line beams are projected; extracting face features from the infrared image based on characteristics of a pattern of the line beams projected on the acquired infrared image; and detecting whether or not the infrared image is a forged face based on the extracted face features. Said detecting whether or not the infrared image is a forged face includes: checking whether the extracted face features falls within a preset permission range of face features; determining the infrared image to have the forged face if the extracted face features fall out of the range to acquire an infrared image of the subject again; and determining the infrared image to have a non-forged face if the extracted face features falls within the range to perform face recognition for the photorealistic image.

Abstract: A method of detecting a facial image includes pre-processing an image; and detecting a face region from the pre-processed image to create facial records of the detected face region. Further, the method of detecting the facial image includes detecting the facial image by creating coordinates of the face and eyes in the input image by using the facial records.

Abstract: Provided is an apparatus and method for automatically controlling power of a video appliance. The apparatus for automatically controlling power of a video appliance includes an image input unit for capturing a viewer's posture, a posture detection unit for detecting posture information from the image captured by the image input unit, a horizontal-level calculation unit for calculating a horizontal level by using the posture information detected by the posture detection unit and comparing the calculated horizontal level with a preset reference horizontal level, an alert-sound output unit for outputting an alert sound corresponding to the horizontal level compared by the horizontal-level calculation unit; and a power-signal transceiver unit for outputting a power-off signal to the video appliance corresponding to the horizontal level compared by the horizontal-level calculation unit.