Samsung Electronics Co., Ltd.

Neurosona Co., Ltd.

Ji Yeun Kim

Haitao Wang

Hyoung Gook Kim

Ki Wan Eom

Tao Hong

Weiming Li

Mingcai Zhou

Yong Ju Jung

Xun Sun

Maolin Chen

Jin Guk Jeong

Xuan Zhu

Shaohui Jiao

Lujin Gong

Zhilan Hu

Chang Kyu Choi

Kyung Shik Roh

Jong Won Lee

Ji Won Kim

Fan Zhang

Kee Chang Lee

Rong Liu

Young Su Moon

Seung Yong Hyung

Shandong Wang

Won Jun Hwang

Sang Kyun Kim

Hyo Seok Hwang

Gengyu Ma

Ju Suk Lee

Yuan Yuan She

San Ko

Hui Zhang

Jung Bae Kim

Yong Ki Lee

Xiying Wang

Xiaolu Shen

Xuetao Feng

Jung Uk Cho

Yuan Shi

Wentao Mao

Eui Hyeon Hwang

Jeong Hyeon Park

Chen Maolin

Doo Sun Hwang

Xing Mei

Seung Schik Yoo

Seoung Won Shin

Cheol Kon Jung

Gangyu Ma

Zhang Fan

Liu Rong

A medical headgear includes an ultrasound transducer and a headgear. The ultrasound transducer is configured to generate a low intensity ultrasound. The headgear supports the ultrasound transducer. The headgear includes a rear portion case including a slide guide configured to support an occipital and a support pad configured to support a crown. The headgear further includes a front portion case connected to the rear portion case to be slidably movable in one direction. The front portion case includes two temporal support pads configured to support both temporal portions.

Medical headgear and transcranial ultrasound transmission device comprising the same

A three-dimensional (3D) display method includes generating N first visual images, N being a natural number greater than 1; generating M second visual images from each of the N first visual images, M being a natural number greater than 1; acquiring N visual image groups corresponding to the N first visual images, respectively, such that, for each one of the N visual image groups, the visual image group includes the M second visual images generated from the first visual image, from among the N first visual images, to which the visual image group corresponds; generating M elemental image array (EIA) images based on the N visual image groups; and time-share displaying the M EIA images.

3D display method and device for executing same

A radiographic apparatus may comprise: a radiation irradiating module configured to irradiate radiation to an object; and/or a processing module configured to automatically set a part of a region to which the radiation irradiating module is able to irradiate the radiation, to a region of interest, and further configured to determine at least one of a radiation irradiation position and a radiation irradiation zone of the radiation irradiating module based on the region of interest.

Methods of tracing regions of interest, radiographic apparatuses, methods of controlling the radiographic apparatuses, and radiography methods

Provided are methods and apparatuses for calibrating a three-dimensional (3D) image in a tiled display including a display panel and a plurality of lens arrays. The method includes capturing a plurality of structured light images displayed on the display panel, calibrating a geometric model of the tiled display based on the plurality of structured light images, generating a ray model based on the calibrated geometric model of the tiled display, and rendering an image based on the ray model.

Method and apparatus for calibrating a three-dimensional (3D) image in a tiled display

Provided are an X-ray imaging apparatus that is capable of tracking a position of an object of interest using a Kalman filter so as to reduce the amount of X-ray radiation exposure of a subject, calculating covariance indicative of accuracy of the tracing, and controlling a collimator so that the position of the object of interest and calculated covariance may be correlated with a position and an area of a region into which X-rays are radiated, and a method of controlling the X-ray imaging apparatus.

X-ray imaging apparatus and method of controlling the same

Provided is an apparatus and method for calibrating a multi-layer three-dimensional (3D) display (MLD) that may control a 3D display including a plurality of display layers to display a first image on one of the plurality of display layers, acquire a second image by capturing the first image, calculate a homography between the display layer and an image capturer based on the first image and the second image, and calculate geometric relations of the display layer with respect to the image capturer based on the calculated homography.

Apparatus and method for calibrating multi-layer three-dimensional (3D) display

A face tracking apparatus includes: a face region detector; a segmentation unit; an occlusion probability calculator; and a tracking unit. The face region detector is configured to detect a face region based on an input image. The segmentation unit is configured to segment the face region into a plurality of sub-regions. The occlusion probability calculator configured to calculate occlusion probabilities for the plurality of sub-regions. The tracking unit is configured to track a face included in the input image based on the occlusion probabilities.

Apparatuses and methods for face tracking based on calculated occlusion probabilities

Provided is an apparatus and method for detecting body parts, the method including identifying a group of sub-images relevant to a body part in an image to be detected, assigning a reliability coefficient for the body part to the sub-images in the group of sub-images based on a basic vision feature of the sub-images and an extension feature of the sub-images to neighboring regions, and detecting a location of the body part by overlaying sub-images having reliability coefficients higher than a threshold value.

Apparatus and method for detecting body parts

An apparatus for detecting a body part from a user image may include an image acquirer to acquire a depth image, an extractor to extract the user image from a foreground of the acquired depth image, and a body part detector to detect the body part from the user image, using a classifier trained based on at least one of a single-user image sample and a multi-user image sample. The single-user image may be an image representing non-overlapping users, and the multi-user image may be an image representing overlapping users.

Apparatus and method for detecting body parts from user image

An audio information retrieval method, medium, and system that can rapidly retrieve audio information, even in noisy environments, by extracting a modulation spectrum that is robust against noise, converting features of the extracted modulation spectrum into hash bits, and using a hash table. The audio information retrieval method may include extracting a modulation spectrum from audio data of a compressed domain, converting the extracted modulation spectrum into fingerprint bits, arranging the fingerprint bits in a form of a hash table, converting a received query into an address by a hash function corresponding to the query, and retrieving the audio information by referring to the hash table.

Method, medium, and system for music retrieval using modulation spectrum

An apparatus and method for parsing a human body image may be implemented by acquiring a depth image including a human body, and detecting a plurality of points in the acquired depth image by conducting a minimum energy skeleton scan on the depth image.

Apparatus and method for parsing human body image

A device and a method for image processing include an image processing device that may extract a foreground moving object from a depth map of a three-dimensional (3D) image that may include an image depth map acquirer to obtain the depth map of a successive 3D image over a period of time, a moving object segmenter to segment a moving object from the obtained depth map, and a moving object tracker to identify and track the segmented moving object.

Device and method for image processing

A method, medium, and system generating a video abstract with high processing speeds, may include a detecting of an event candidate section from video data, based on audio information, a detecting of shot change information from the detected event candidate section, a detecting of final event sections from the detected event candidate section, based on the detected shot change information and visual information, and a generating of video abstract information by merging the extracted final event sections.

Method, medium, and system generating video abstract information

A video processing method for a three-dimensional (3D) display is based on a multi-cue process. The method may include acquiring a cut boundary of a shot by performing a shot boundary detection with respect to each frame of an input video, computing a texture saliency with respect to each pixel of the input video, computing a motion saliency with respect to each pixel of the input video, computing an object saliency with respect to each pixel of the input video based on the acquired cut boundary of the shot, acquiring a universal saliency with respect to each pixel of the input video by combining the texture saliency, the motion saliency, and the object saliency, and smoothening the universal saliency of each pixel using a space-time technology.

Video processing method for 3D display based on multi-cue process

Provided are an apparatus and method for generating an image with a defocused background. According to various aspects, a preview image is used as the basis for extracting a background distribution and a defocused background is generated based on the extracted background distribution. Accordingly, it is not necessary to photograph two or more images to generate a defocused background effect.

Apparatus for generating an image with defocused background and method thereof

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Seoul, South Korea

Ji Yeun Kim