Electronics and Telecommunications Research Institute

Min Sung Yoon

Seong Il Yang

Jong Sung Kim

Si Hwan Jang

Byung Gyu Chae

Youn Hee Gil

Soo Myung Park

Dae Wook Kim

A method and an apparatus for registering motion of a user tracked by heterogeneous sensors are disclosed. The method includes initializing the first sensor so that an origin of a first sensor coordinate system is adjacent to an origin of a device coordinate system, wherein the device coordinate system is a three-dimensional coordinate system with a current position of the device as the origin; and determining a calibration parameter for transforming coordinates of the plurality of feature points according to the first sensor coordinate system to coordinates according to a second sensor coordinate system, based on the position and orientation of the device in the second sensor coordinate system.

Method and apparatus for matching user motion tracked by heterogeneous sensors

The present disclosure provides a method and device for analyzing user satisfaction of screen sports contents. According to one embodiment, the present disclosure provides a method of analyzing user satisfaction of a screen sports content, including generating first satisfaction detection information based on real-time chat data of a user using a text feature recognition model, generating second satisfaction detection information based on real-time chat data of the user using a language feature recognition model, and predicting real-time satisfaction of the user based on the first satisfaction detection information and the second satisfaction detection information using a satisfaction prediction model.

Method and apparatus for analyzing satisfaction of screen sports contents user

Provided is an impact motion recognition system for screen-based multi-sport coaching. The impact motion recognition system for screen-based multi-sport coaching includes: a high-speed stereo camera device installed on an upper end of a target object including a hitting body and an moving body and configured to acquire a stereo image sequence in which the hitting body and the moving body are photographed; an object detection unit configured to detect an object in the acquired stereo image sequence; a moving body recognition unit configured to identify whether an impact motion has occurred in the detected object to recognize the moving body; a hitting body detection unit configured to, based on the moving body being recognized through the moving body recognition unit, detect the object excluding the moving body as the hitting body; a target object tracking unit configured to continuously detect a center point of the moving body and a feature point of the hitting body in a subsequent stereo image sequence using characteristics of the moving body and the hitting body that are detected, and continuously track the center point of the moving body and the feature point of the hitting body until the center point of the moving body and the feature point of the hitting body are not detected; and a motion analysis unit configured to analyze three-dimensional (3D) motion information of the target object using the center point of the moving body and the feature point of the hitting body, which are detected through the target object tracking unit, and high-speed stereo camera correction data.

Impact motion recognition system for screen-based multi-sport coaching

A system and method for hologram synthesis and processing capable of synthesizing holographic 3D data and displaying (or reconstructing) a full 3D image at high speed using a deep learning engine. The system synthesizes or generates a digital hologram from a light field refocus image input using the deep learning engine. That is, RGB-depth map data is acquired at high speed using the deep learning engine, such as a convolutional neural network (CNN), from real 360&#xb0; multi-view color image information and the RGB-depth map data is used to produce hologram content. In addition, the system interlocks hologram data with user voice recognition and gesture recognition information to display the hologram data at a wide viewing angle and enables interaction with the user.

System and method for digital hologram synthesis and process using deep learning

A method of generating hologram data in a holographic display apparatus, including a hologram processing device generating hologram data and a display terminal reconstructing a hologram image in a three-dimensional (3D) space on the basis of the generated hologram data, includes generating depth map image data from input image data by using a deep learning engine for generating a depth map and calculating a complex value hologram on the basis of the depth map image data and the input image data to generate the hologram data.

Method and apparatus for processing holographic image

A method and apparatus for measuring a quality of a holographic image are provided. An image quality measuring method may include acquiring a first image including a holographic image in a background, and a second image that does not include a holographic image, the first image and the second image being on the same background, extracting a gray level value and a dark-noise counted level value from the first image in a selected range of the first image, extracting a gray level value and a dark-noise counted level value from the second image in the same range as the selected range of the first image, and determining a holographic contrast ratio (HCR) of the holographic image based on the extracted gray level values and the extracted dark-noise counted level values.

Apparatus and method for measuring quality of holographic image

The present invention relates to an apparatus for controlling a light beam path. Specifically, the apparatus for controlling the light beam path outputs light beams with a uniform intensity expanded corresponding to a size of an active area of a display by using characteristics of an incident wave field of light beams having coherence.

Growing community of inventors

Daejeon, South Korea

Min Sung Yoon