Samsung Electronics Co., Ltd.

Osong Medical Innovation Foundation, Korea University Research and Business Foundation

Hong-Seok Lee

Hyun Seok Choi

Chang-Kun Lee

Qiang Wang

Hoon Song

Lin Ma

Hwi Dae Kim

Geeyoung Sung

Chun Long Wang

Sang-Yoon Lee

Ju Hyun Kim

Sunghoon Hong

Beom Seok Kim

Minsu Ahn

Jin-Hwan Kim

Zhihua Liu

In-Kyeong Yoo

Yun-tae Kim

Gee-Young Sung

Byoung-Ho Cheong

Eung-Yeoul Yoon

Guangwei Wang

Tianhao Gao

Sunghyun Han

Sung Dug Kim

Jung Kwuen An

Seung-Hoon Han

Wan-Joo Maeng

Moon-Gyu Han

Kang-Hee Won

Ji-Deog Kim

A camera system of a mobile device includes: a sensor module disposed in a first body connected to a rotation member of the mobile device; and a lens module disposed in a second body connected to the rotation member. When the first body and the second body are rotated with respect to the rotation member to overlap each other, optical axes of the sensor module and the lens module correspond to each other and are operated as a common camera system, and the common camera system provides a first photographing mode and a second photographing mode with different viewing angles based on two focuses generated by a first geometry phase lens included in the lens module.

Camera system of mobile device including geometry phase lens

A diffractive optical element including a diffraction layer including a plurality of optical axes along an in-plane direction, wherein the diffraction layer includes an anisotropic material that satisfies one of Relationship Equations 1A to 3A&#x394;(450 nm)&#x3c;&#x394;(550 nm)&#x2264;&#x394;(650 nm)&#x2003;&#x2003;Relationship Equation 1A&#x394;(450 nm)&#x2264;&#x394;(550 nm)&#x3c;&#x394;(650 nm)&#x2003;&#x2003;Relationship Equation 2A&#x394;(450 nm)=&#x394;(550 nm)=&#x394;(650 nm)&#x2003;&#x2003;Relationship Equation 3Awherein, in Relationship Equations 1A to 3A,

Diffractive optical element and device

A method and device that estimate a pose of a device and the device are disclosed. The method may include generating inertial measurement unit (IMU) data of the device, determining a first pose of the device a first time point based on the IMU data, generating a current predicted motion state array based on the IMU data, and estimating an M-th predicted pose of the device at an M-th time point after the first time point based on the current predicted motion state array, where M denotes a natural number greater than 1.

Device and method with pose estimator based on current predicted motion state array

Growing community of inventors

Seoul, South Korea

Hong-Seok Lee