Samsung Electronics Co., Ltd.

Yonsei University

Postech Academy-industry Foundation

Taegyu Lim

Seunghoon Han

Jihye Lee

Hoyoung Lee

Chanyul Kim

Boseok Moon

Bohyung Han

Myungsik Kim

Sangyoun Lee

Jaeyong Ju

Taeoh Kim

Seunghoon Hong

Hyeongmin Lee

Disclosed are a display device and a control method for the display device. The display device according to the disclosure may drive each of a plurality of LEDs included in the display device on the basis of input data including three-dimensional color information to acquire output data including three-dimensional color information about the colors output from the plurality of LEDs, acquire 4D correction coefficients, which are for correcting the colors output from the plurality of LEDs to colors designated to be output by the input data, for each of the plurality of LEDs on the basis of the input data and the output data, and control the plurality of LEDs to output colors included in an image on the basis of the acquired 4D correction coefficients when an input for displaying the image is received.

Display device and control method for same

The present disclosure relates to an image processing device including: a memory configured to store one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to: extract one or more input patches based on an input image; extract one or more pieces of feature information respectively corresponding to the one or more input patches, based on a dictionary including mapping information indicating mappings between a plurality of patches and pieces of feature information respectively corresponding to the plurality of patches; and obtain a final image by performing a convolution operation between the extracted one or more pieces of feature information and a filter kernel.

Image processing device and operation method thereof

An electronic device for and a method of assisting vehicle driving are provided. The electronic device includes a plurality of cameras configured to capture a surrounding image around a vehicle; at least one sensor configured to sense an object around the vehicle; and a processor configured to obtain, during vehicle driving, a plurality of image frames as the surrounding image of the vehicle is captured based on a preset time interval by using the plurality of cameras, based on the object is sensed using the at least one sensor while the vehicle is being driven, extract an image frame corresponding to a time point when and a location where the object has been sensed, from among the obtained plurality of image frames, perform object detection from the extracted image frame, and perform object tracking of tracking a change in the object, from a plurality of image frames obtained after the extracted image frame. The present disclosure also relates to an artificial intelligence (AI) system that utilizes a machine learning algorithm, such as deep learning, and applications of the AI system.

Electronic device and method for vehicle driving assistance

A method by which a tracking apparatus tracks a target object includes: acquiring a first tree structure indicating a tracking processing order of frames, each frame including a tracking area in which the target object is located; acquiring a plurality of frame groups, each frame group consisting of two frames, and acquiring distance evaluation values of the respective frame groups; acquiring a second tree structure based on the first tree structure and the distance evaluation values; and tracking the target object based on the acquired second tree structure, wherein the distance evaluation value is determined based on at least one of locations of tracking areas included in two frames belonging to the frame group and pixel values included in the tracking areas.

Method and apparatus for tracking target object

Growing community of inventors

Seoul, South Korea

Taegyu Lim