Lg Electronics Inc.

Korea Institute of Science and Technology

Hanwha Vision Co., Ltd.

Sungyeon Park

Junghyun Cho

Ig Jae Kim

Jeongwoo Ju

Heeseung Choi

Seungmin Baek

Dongki Noh

Jaekwang Lee

Jaemin Lee

Changho Song

Minkuk Jung

Jeongeun Lim

Seungin Noh

The present specification relates to a mobile robot system and a boundary information generation method for the mobile robot system, the mobile robot system comprising a signal processing device that comprises a receiving tag for receiving a transmission signal and a distance sensor, so as to recognize coordinate information about a spot at which the point of the distance sensor is designated on the basis of the reception result of the receiving tag and the distance measurement result of the distance sensor, thereby generating boundary information according to the path designated as the point of the distance sensor on the basis of the recognized coordinate information.

Mobile robot system and boundary information generation method for mobile robot system

The present invention relates to a mobile robot system for autonomously traveling in a travel area, and a method for generating boundary information of the mobile robot system, the mobile robot system being characterized by comprising: a transmitter for transmitting a transmission signal including location information; and a mobile robot which moves and rotates on the basis of the separation distance to the transmitter and the angle with respect to the transmitter, and generates boundary information on a travel area by using a movement path, wherein the transmitter moves along the periphery of the mobile robot and changes the separation distance and the angle to control the travel of the mobile robot.

Mobile robot system, and method for generating boundary information of mobile robot system

A method for automatic facial impression transformation includes extracting landmark points for elements of a target face whose facial impression is to be transformed as well as distance vectors respectively representing distances of the landmark points, comparing the distance vectors to select a learning data set similar to the target face from a database, extracting landmark points and distance vectors from the learning data set, transforming a local feature of the target face based on the landmark points of the learning data set and score data for a facial impression, and transforming a global feature of the target face based on the distance vectors of the learning data set and the score data for the facial impression. Accordingly, a facial impression may be transformed in various ways while keeping an identity of a corresponding person.

Method for automatic facial impression transformation, recording medium and device for performing the method

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Seoul, South Korea

Sungyeon Park