Electronics and Telecommunications Research Institute

Hyung Keun Jee

Su Woong Lee

Sung Uk Jung

Jun Suk Lee

Kyo Il Chung

Seong Il Yang

Ju Young Kim

Yun Su Chung

Yeo Chan Yoon

Hyun Joo Kim

Hyun Woo Cho

Jang Hee Yoo

Hyeon Jin Kim

Sang Heon Park

Soo Myung Park

Joong Yong Choi

Ah Reum Oh

Si Hwan Jang

Jun Sup Lee

Jae Sang Yoo

Ho Young Yoo

Kyoung Ill Kim

Byung Gyu Lee

An apparatus and method for calibration between wide angle-narrow angle lenses through a dual-ChArUco board is disclosed. A method of calibration between wide angle-narrow angle lenses through a dual-ChArUco board includes recognizing a first pattern through a wide-angle lens of a first sensor and recognizing a second pattern through a narrow-angle lens of a second sensor, storing the first pattern and the second pattern; and calibrating the stored first pattern and the stored second pattern.

Apparatus and method for calibration between wide angle-narrow angle lenses through dual-ChArUco board

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

A clustering method includes configuring a network with clustering target objects; collecting significance of the clustering target objects; performing network embedding for outputting a set of vectors representing neighboring objects of the clustering target objects constituting the network using a neural network; and performing clustering on the clustering target objects using the set of vectors and information on each of the clustering target objects, wherein the neural network is trained so that neighboring objects having high significance are output with higher probability.

Clustering method and apparatus using ranking-based network embedding

The present invention relates to an apparatus and method for providing personalized adaptive e-learning, and more specifically, to an apparatus and method for estimating a learner's proficiency to each attribute and providing adaptive e-learning by taking into consideration an item answering result of an individual learner in a personalized learning environment.

Apparatus and method for providing personalized adaptive e-learning

Disclosed is an apparatus for analyzing a game update effect according to a change in a gamer action sequence, the apparatus including: a gamer action information collector configured to collect action information of a gamer from a game operating server that provides a gamer terminal with a game and stores the action information of the gamer therein; a gamer action information sequence identifier configured to detect an action sequence of the gamer from the collected action information of the gamer; and an update result analyzer configured to analyze an consequence on behavior of the gamer with respect to an update of a game service by comparing action sequences of the gamer detected through the gamer action information sequence identifier on the basis of a time point of the update of the game service.

System and method for analyzing game update effect according to change of gamer action sequence

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

Provided is a system for detecting an object from a depth image. The system includes a communication module, a memory, and a processor. By executing the object detection program, the processor extracts a first object area and a second object area from the depth image, based on a predetermined floor plane and an outer plane which is set with respect to the predetermined floor plane. The processor extracts a target area including pixels of the second object area which are spaced apart from the first object area by a predetermined interval. The processor samples a pixel, which is not included in the target area, to extract a floor area from the second object area, calculates a boundary value of an object and a floor, based on the floor area and the target area, and extracts a foreground pixel from the target area, based on the calculated boundary value.

System and method for detecting object from depth image

Disclosed are an apparatus and a method for providing mixed reality for a virtual experience service, and more particularly, an apparatus and a method for providing mixed reality contents for learning a virtual experience based on a story that provides a service in which a user in a real world appears in a virtual world having the story to undergo a virtual experience. The method picks up the user image in the real world and synthesizes the picked-up image with a desired position of a 3D virtual world. According to the present disclosure, a realistic experience based learning can be provided while a spatial limit is overcome.

Apparatus and method for providing mixed reality contents for learning through story-based virtual experience

A face recognition and apparatus are provided. According to the method, an SVM classifier is created through machine learning on the basis of a degree of similarity of a divided facial image, and a facial image to be authenticated is normalized to a predetermined size using a center between two eyes. The normalized image is divided into more than one image in horizontal and vertical directions, respectively. Next, predetermined characteristic vectors from the divided images are extracted and a similarity vector based on a degree of similarity with respect to a registered characteristic vector is created. The similarity vector is input to the SVM classifier, so that authentication is performed.

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Daejeon, South Korea

Hyung Keun Jee