Samsung Electronics Co., Ltd.

Nhn Corporation

Minseok Kang

Seungeun Lee

Seungnyun Kim

Chakyum Kim

Yongsang Yun

Nanhee Kim

Seungmin Choi

Jeongjin Lee

Seungyoon Lee

Hyewon Seo

Youngchan Cho

Rokkyu Lee

Jiwoo Lee

Changryong Heo

Seungjun Lee

Minwoo Yoo

Chan Soo Hwang

Junho Park

Jonghun Won

Jongmoo Lee

Seonghoon Choi

Oheon Kwon

Seungjun Hyun

Hyunyoung Yang

Jinhee Ahn

Jeonghwan Jeon

Byumhyuk Koo

Taihoon Kim

Sunhee Kang

Chan Young Hwang

Hyugjae Lee

Bongjae Jeong

Byeungwoong Han

Hyosun You

Byengseok Choi

Gi Hyeok Pak

Byungchang Kwak

An electronic device and method are disclosed. The electronic device includes a first camera; a first display panel including multiple pixels and disposed to overlap the first camera, in at least a partial region thereof; and a processor. The processor implements the method, including: displaying, on a first display panel, a graphic user interface; activating, via at least one processor, a first camera, wherein the first display panel includes multiple pixels, and is disposed to overlap the first camera in at least a partial region thereof; deactivating, via the at least one processor, at least one pixel disposed within a first region of the first display panel, wherein the first region is included in the partial region; and changing the graphic user interface to be displayed at least in part to a second region of the first display panel, wherein the second region is in contact with the first region.

Electronic device including display and camera and method controlling thereof

A method of a clothing virtual try-on service based on deep learning allowing a virtual try-on service application executed by at least one processor of a computing device to perform a process of the clothing virtual try-on service based on the deep-learning includes: determining a first clothes image including a first clothes object, a second clothes image including a second clothes object, and a model image including a model object; generating a first transformed clothes image by transforming a shape of the first clothes object to correspond to the model object; generating a second transformed clothes image by transforming a shape of the second clothes object to correspond to the model object; and generating and outputting a virtual fitting image obtained by synthesizing the first transformed clothes image and the second transformed clothes image to be virtually fitted on the model object.

Method and system for clothing virtual try-on service based on deep learning

A fordable electronic device may include a first display, a second display, and a processor. The processor is configured to: based on the electronic device being in a folded state and a screen being displayed through the second display, detect that unfolding of the electronic device has started; based on and angle exceeding a first angle, control the second display to be in an off state and display at least a portion of a screen displayed through the second display on a first area of the first display and a menu for controlling the screen displayed through the first area on a second area of the first display; and based on the angle exceeding a second angle greater than the first angle, display at least a portion of the screen displayed through the first area and the second area on the entire area of the first display.

Foldable electronic device and method for displaying information in foldable electronic device

A foldable electronic device includes a first housing and a second housing that are foldable with respect to each other; at least one sensor; a display; a camera configured to operate in a first mode associated with user recognition, and a second mode associated with user authentication; a memory storing instructions; at least one processor configured to execute the instructions to: control the display to display notification information about an event corresponding to the foldable electronic device; based on a folding state of the foldable electronic device detected using the at least one sensor satisfying a predetermined condition, obtain at least one first image using the camera operating in the first mode; identify whether a face is present in the at least one first image; based on identifying that the face is present in the at least one first image, obtain at least one second image using the camera operating in the second mode; perform face recognition-based biometric authentication using at least part of the at least one second image; and based on the biometric authentication being successful, control the display to display content corresponding to the event.

Biometric authentication system and electronic device for same

An electronic device includes: a memory storing instructions; and a processor connected to the memory and configured to execute the instructions to: based on a software error occurring in the electronic device, determine whether attribute data set in relation to a memory margin of the electronic device corresponds to a specified value, based on determining that the attribute data corresponds to the specified value, identify a software error occurrence history stored in the memory, identify a defect associated with a memory margin configuration set for the memory based on the occurring software error and the software error occurrence history, and change the memory margin configuration by performing memory training on the memory based on the identification of the defect, wherein the memory margin includes information about a driving voltage and information about latency associated with data transmission.

Electronic device and method controlling the same

An overlay correcting method capable of optimizing correction of an overlay within a scanner correction limit of a scanner of a scanner system, and a photolithography method, a semiconductor device manufacturing method and the scanner system which are based on the overlay correcting method are provided. The overlay correcting method includes collecting overlay data by measuring an overlay of a pattern; calculating correction parameters of the overlay by performing regularized regression using the overlay data, the regularized regression being based on a correction limit of the scanner such that the correction parameters fall within the correction limit of the scanner; and providing the correction parameters to the scanner.

Overlay correcting method, and photolithography method, semiconductor device manufacturing method and scanner system based on the overlay correcting method

According to various embodiments, disclosed is an electronic device comprising: a first housing, a second housing, a hinge structure comprising a hinge, at least one display, a sensing circuit, and a processor, wherein the processor is configured to: control the display to display, on a first display area, a first execution screen according to execution of a first application; monitor whether an event related to a second application has occurred, while the first execution screen is displayed on the first display area; and control the display to display, in response to at least one of a folding operation sensed through the sensing circuit based on occurrence of the event or a rotating operation of the electronic device, identified from a physical movement based on occurrence of the event, a second execution screen related to the event on the second display area while the first application is being executed.

Method for controlling display and electronic device therefor

Disclosed are a foldable electronic device and a method for displaying a preview image of a camera in the foldable electronic device. The electronic device includes a first display, at least a portion of which is foldable, a second display, a camera, and a processor, wherein the processor is configured to control the electronic device to: identify a folding state of the first display, based on the identified folding state being a first specific state, display a first preview image generated based on image information acquired through the camera through the first display, and display a second preview image generated based on the image information through the second display, and based on the identified folding state being a second specific state, display a third preview image generated based on the image information through the second display.

Foldable electronic device and method for displaying images based on folding state of foldable electronic device

Provided is an electronic device. The electronic device may detect a first input on a designated region of a display, obtain fingerprint information corresponding to the first input using the fingerprint sensor, display, on the display, an object related to an application based on obtaining the fingerprint information, detect a second input generated by dragging from the designated region to a region corresponding to the displayed object while the first input is maintained, execute an application related to the object selected by the second input, and perform authentication related to the application based on the fingerprint information.

Electronic device using a fingerprint sensor included in a display of the electronic device and controlling method thereof

Disclosed is an electronic device and multitasking interface providing method therefor. The electronic device presents at least a portion of specific content on at least a portion of the display via a window having a size desired by the user, provides a multi-window display according to user input and determines the content to be displayed in each window, and provides an update on specific content via the first window of the multi-window and an application list enabling application switching via the second window.

Interface providing method for multitasking and electronic device implementing the same

A deep learning-based virtual hair dyeing method is performed by an image editing server including a deep learning neural network and generative adversarial networks (GANs). The method comprises obtaining an original image and a desired hair color; generating a semantic map by providing the original image to the deep learning neural network; generating a trimap automatically with respect to the original image based on the semantic map; generating an alpha mask by performing alpha matting on the original image based on the trimap; obtaining a transformed image by applying the original image to the GANs; and obtaining a virtual dyeing image by synthesizing the original image and the obtained transformed image through the alpha mask.

Deep learning based virtual hair dyeing method and method for providing virtual hair dyeing service using the same

The present disclosure relates to a method and an electronic device for executing a screen security function. The electronic device includes a display unit comprising a view angle limit panel disposed on a display panel, a sensor unit including at least one sensor, and a processor. The electronic device can receive a screen security execution command, identify a direction of the electronic device using the sensor unit functionally connected to the processor, determine a view angle limit direction based on the identified direction of the electronic device using the processor, and supply an electric current to the view angle limit panel based on the determined view angle limit direction using the view angle limit panel functionally connected to the processor.

Method and electronic device for executing screen security function

Growing community of inventors

Gyeonggi-do, South Korea

Minseok Kang