Samsung Electronics Co., Ltd.

Merck + Co., Inc.

Chong Kun Dang Pharmaceutical Corporation

Korea University Research and Business Foundation

Merck Sharp + Dohme Corp.

Yuntae Kim

Hongseok Lee

Geeyoung Sung

Juwon Seo

Barbara Hanney

Qiang Wang

Mark E Fraley

Wontaek Seo

Changkun Lee

Zhihua Liu

Bongsu Shin

Myungjae Jeon

Kenneth L Arrington

Sanghoon Sull

George D Hartman

Robert S Meissner

Donghoon Sagong

Keith Lee Spencer

Jaehwan Pi

Jaekwang Lee

Younghue Han

William F Hoffman

James J Perkins

Jaeyoung Lee

Dohoon Kim

Helen J Mitchell

Jiabing Wang

Hojin Ju

Hyeseung Song

Miseon Bae

Michael R Krout

Jeffrey Musselman

Kuan Ma

Mark T Bilodeau

Randall W Hungate

Chang Sik Lee

Jaeki Min

Jung Taek Oh

Tianhao Gao

Yamin Mao

Shyam B Karki

Seongwook Yoon

Xiongfeng Peng

Jaehyun Kim

Hoon Song

Sunil Kim

Jihyun Kim

Mark E Duggan

Jungkwuen An

Soyoung Kim

Chilsung Choi

Hojung Kim

Jaeseung Chung

Shawn J Stachel

Michael T Rudd

Jin Hyeock Choi

Dongwoo Kang

Wonhee Choe

Hyunmo Yang

Edward J Brnardic

Vanessa L Rada

Seongdeok Lee

Hyunwook Ok

Weiheng Liu

Daekwon Bae

ChangSik Lee

Changsik Lee

Paul Oh

Nina Ha

Daekyu Choi

Heejeong Lim

SoYoung Kim

Xiaolong Shi

Dal-Yong Gwak

Jennifer P Peckham

Moo Sung Ko

Suyeal Bae

MooSung Ko

HoJung Kim

Chang Gon Lee

Il Hyang Kim

Seokmin Jin

Jangbeen Kyung

Changgon Lee

Dalyong Kwak

Celina V Zerbinatti

DaeKyu Choi

JaeKi Min

Moosung Ko

Ii Hyang Kim

An image display apparatus includes a display device configured to modulate light to form an image; a driver configured to drive the display device such that a position of the display device varies; a light transmitter configured to transmit the image formed by the display device to an observers eye and comprising a focusing member; and a processor configured to generate a light modulation signal and a driving signal according to image information and control the display device and the driver according to the light modulation signal and the driving signal, respectively.

Image display device capable of expressing multiple depth

An apparatus for estimating an uncertainty includes a processor configured to receive a first tracking coordinate corresponding to a reference coordinate, the reference coordinate being included in first image data acquired by a camera sensor, the first tracking coordinate including an image-based tracking coordinate in second image data acquired after the first image data; acquire, based on motion data acquired from a motion sensor and a depth value of the first image data, a second tracking coordinate corresponding to the reference coordinate, the second tracking coordinate including a motion-based tracking coordinate in the second image data; calculate a target coordinate distribution in the second image data based on the first tracking coordinate and the second tracking coordinate; acquire an estimated target coordinate and an uncertainty of the estimated target coordinate based on the calculated target coordinate distribution; and update the first tracking coordinate based on the estimated target coordinate.

Apparatus and method for estimating uncertainty of image coordinate

An augmented reality (AR) device and a method of predicting a pose in the AR device is provided. In the augmented reality (AR) device inertial measurement unit (IMU) values corresponding to the movement of the AR device are obtained at an IMU rate, intermediate 6-degrees of freedom (6D) poses of the AR device are estimated based on the IMU values and images around the AR device via a visual-inertial simultaneous localization and mapping (VI-SLAM) module, and a pose prediction model for predicting relative 6D poses of the AR device is generated by performing learning by using a deep neural network.

Augmented reality (AR) device and method of predicting pose therein

Provided is a method of simultaneous localization and mapping (SLAM), the method including obtaining a structure of a current image frame, obtaining a structure re-identification constraint based on the structure of the current image frame, and obtaining a SLAM result based on the structure re-identification constraint. By introducing the structure re-identification constraint in a bundle adjustment process to obtain the SLAM result, error accumulation may be more easily controlled, and accuracy and robustness in obtaining the SLAM result may be improved.

Method and apparatus for simultaneous localization and mapping, and computer-readable storage medium

The present disclosure relates to the field of artificial intelligence technology, and to a method of estimating a pose of a device and a related device. The method of estimating a pose of a device includes identifying a similar key frame that is similar to a current frame collected by the device from a key frame set, based on a vector distance between the similar key frame and the current frame; obtaining data-related information between image frames based on a feature matching relationship between the current frame and the similar key frame; and obtaining the pose of the device based on the data-related information.

Method and apparatus for estimating pose of device

Provided is a method for simultaneous localization and mapping (SLAM), the method including obtaining a current frame image input through a camera, performing scene recognition on the current frame image to obtain a key frame image having a greatest similarity to the current frame image in a global map, and obtaining a camera pose of the current frame image based on the key frame image.

Method and device for simultaneous localization and mapping (SLAM)

An electronic device includes a memory storing a plurality of motion prediction models, and a processor configured to estimate a current pose of the electronic device based on external data; predict a first motion of the electronic device at a future first prediction time through a first model in which the plurality of motion prediction models are combined for the future first prediction time, and calculate a first pose of the electronic device at the first prediction time based on the current pose and the first motion; and predict a second motion of the electronic device at a future second prediction time through a second model in which the plurality of motion prediction models are combined for the future second prediction time, and calculate a second pose of the electronic device at the second prediction time based on the first pose and the second motion.

Electronic device for predicting pose and operating method thereof

An image display device includes a processor that sets a location of a virtual image plane on which a virtual image is formed according to depth information included in first image data and generates second image data obtained by correcting the first image data based on the set location of the virtual image plane; an image forming optical system including a display element configured to modulate light to form a display image according to the second image data and a light transfer unit that forms the virtual image on the virtual image plane, the virtual image corresponding to the display image formed by the display element, the light transfer unit comprising a focusing member; and a drive unit that drives the image forming optical system to adjust the location of the virtual image plane.

Image display device including moveable display element and image display method

Disclosed is a pose identification method including obtaining a depth image of a target, obtaining feature information of the depth image and position information corresponding to the feature information, and obtaining a pose identification result of the target based on the feature information and the position information.

Method and apparatus for pose identification

An apparatus for controlling an augmented reality includes: a communicator configured to communicate with an external device; and a processor configured to identify, via the communicator, a sensing device which is an external device, generate virtual image data based on sensing data received from the identified sensing device, and provide the virtual image data to an image display device.

Apparatus for controlling augmented reality, method of implementing augmented reality by using the apparatus, and system of implementing augmented reality by including the apparatus

A depth image generation method includes obtaining a first depth image, based on a binocular image, obtaining a second depth image, using a depth camera, and obtaining a final depth image by performing image fusion on the obtained first depth image and the obtained second depth image.

Depth image generation method and device

A simultaneous localization and mapping-based electronic device includes: a data acquisition device configured to acquire external data; a memory; and a processor configured to be operatively connected to the data acquisition device and the memory, wherein the processor is further configured to extract features of surrounding objects from the acquired external data, calculate a score of a registration error of the extracted features when the number of the extracted features is greater than a set number stored in the memory, and select the set number of features from the among the extracted features, based on the calculated score.

Slam-based electronic device and an operating method thereof

A simultaneous localization and mapping device is provided. The device includes an image obtaining device configured to capture color images and depth images of a surrounding environment; an initial pose estimating device configured to estimate an initial pose based on the color images and the depth images; a map constructing device configured to construct a three-dimensional map based on the depth images and the color images; and a pose determining device configured to determine a final pose based on the initial pose and the three-dimensional map.

Device and method with simultaneous implementation of localization and mapping

A method of generating augmented reality includes obtaining external data, obtaining current pose data corresponding to a position of an augmented reality device, through edge computing, based on the obtained external data, obtaining first future pose data and second future pose data corresponding to movement of the augmented reality device, based on the obtained current pose data, generating a virtual image through the edge computing, based on the obtained first future pose data, and generating a virtual video, based on the obtained second future pose data and the generated virtual image.

Augmented reality system and method of generating augmented reality

Growing community of inventors

Suwon-si, South Korea

Yuntae Kim