Electronics and Telecommunications Research Institute

Sung Uk Jung

Yun Su Chung

Hyun Woo Cho

Ki Young Moon

Yongjin Lee

Kyo Il Chung

Hyung Keun Jee

Jang Hee Yoo

Sang Heon Park

Young Woon Lee

Ju Young Kim

Jang-Hee Yoo

Young Suk Yoon

Kyoung Ill Kim

Byung Gyu Lee

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.

Method and apparatus for providing multi-user-involved augmented reality content for diorama application

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.

Apparatus and method for managing feature point map

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.

Mobile-based personal content protection apparatus and method thereof

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.

Augmented reality device based on recognition of spatial structure and method thereof

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.

Augmented reality-based hand interaction apparatus and method using image information

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.

Method and apparatus for detecting forged face using infrared image

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.

Forged face detecting method and apparatus thereof

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.

Apparatus and method for detecting facial image

Provided are a method and an apparatus for accurately detecting positions of eyes in an input face image. The method includes extracting a symmetric face region from a face image based on magnitude and phase of gradient in each pixel of the face image; detecting available eye positions based on brightness information of the extracted face region; verifying regions around each of the detected eye positions with a classifier which determines whether an input image is an eye image using information obtained by supervised learning on sample images. According to the present invention, faulty eye detection is prevented by removing obscuring elements such as illumination, glasses and hair from an input face image. Also, eye coordinates can be extracted more accurately using an eye classifier.

Method and apparatus for detecting eyes in face region

Provided are a method and apparatus of detecting an eye using symmetrical and moment characteristics of an object. According to the method, an eye band is extracted from a facial image, and eye candidates each having symmetry are detected by extracting symmetrical component from the eye band. After that, a moment line integral is calculated on the basis of contrast of the eye band image and a coordinate of each of the eye candidates is inputted, so that each of the detected eye candidates is verified.

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Daejeon, South Korea

Sung Uk Jung