Huawei Technologies Co., Limited

Huawei Device Co., Ltd.

Honor Device Co., Ltd.

Huawei Device (dongguan) Co., Ltd.

Huawei Techonlogies Co., Ltd.

Beijing Kunshi Intellectual Property Management Co., Ltd.

Wenmei Gao

Yahui Wang

Xiaojuan Li

Shunan Fan

Chen Dong

Hao Jing

Lei Wang

Chao Qin

Xin Ding

Shuiping Long

Hui Jin

Xin Chen

Guiming Shu

Yan Li

Huangwei Wu

Chan Wang

Yu Wang

Hao Liu

Lei Zhang

Henghui Lu

Peng Wang

Jian Yang

Zhiming Ding

Bin Hu

Xi Huang

Xiaobo Yu

Kai Qian

Guoqiao Chen

Zhuo Wei

Zhenwei Shan

Li Li

Xiaoqiang Lv

Hongwei Hu

Yongtao Jiang

Yongfeng Tu

Zhu Liu

Dian Fu

Zhizhi Guo

Guangyuan Gao

Yuewan Lu

Weiguang Kong

Qiang Tao

Changzhu Li

Hongrui Jiang

Huiping Zhang

Yunchao Zhang

Yuanli Gan

Xiyong Wang

Chiaching Chu

Xiaoyan Yu

Lin Zhao

Han Xu

Hongbao Li

Junlong Li

Tianyu Yao

Xian Ding

Junlei Wang

Ke Jing

Zeli Shang

Ye Yao

Deyu Zhou

Xuezhi Zhao

Chia Ching Chu

Ruinan Sun

An interaction method for an electronic device for skin detection includes recognizing a hand action and a face of a user to determine a target hand action; determining a detection target corresponding to the hand action based on the target hand action; determining from an extended content library based on the detection target and a shape of the detection target, extended content associated with the detection target and the shape of the detection target, and outputting the extended content.

Interaction method for electronic device for skin detection, and electronic device

The technology of this application relates to an artificial intelligence terminal-based image detection method and apparatus, and an electronic device. The method includes obtaining a to-be-detected image, determining a light source region of the to-be-detected image and a foreground region of the to-be-detected image, and determining a blurring degree of the to-be-detected image based on the light source region and the foreground region. Impact of a light source on clarity of the to-be-detected image is determined by performing light source region detection and foreground region detection on the to-be-detected image, to effectively detect whether an image shot in a backlight condition is blurred.

Image detection method and apparatus, and electronic device

An image processing method includes: converting a red yellow blue RYB image into a grid image based on a red green blue RGB format; generating a first brightness layer of the grid image, and determining a reference gain compensation array used to adjust the first brightness layer; obtaining, based on a preset compensation array correspondence, a target gain compensation array that is associated with the reference gain compensation array and based on an RYB format; and adjusting a second brightness layer of the RYB image by using the target gain compensation array, to generate a corrected image.

Image processing method and apparatus, terminal, and storage medium

A method includes receiving information from each device in multiple devices of one user, where the information includes a device type, determining, according to at least the received information, a device responding to a voice instruction in the multiple devices, and sending a message to a device different from the device responding to a voice instruction in the multiple devices, where the message is used to instruct a voice assistant of the different device not to respond to the voice instruction.

Communication method, server, and device

A speckle detection method includes: obtaining a to-be-detected image; converting the to-be-detected image into Lab color space to obtain a Lab image; extracting a speckle feature from the Lab image to obtain a speckle feature image, where the speckle feature image includes a skin speckle feature and a subcutaneous speckle feature; and determining a skin speckle and a subcutaneous speckle in the speckle feature image.

Speckle detection method and electronic device

A wrinkle detection method includes: obtaining an original image, where the original image includes a face; adjusting a size of an ROI region on the original image to obtain at least two ROI images of different sizes, where the ROI region is a region in which a wrinkle on the face is located. A terminal device processes all the at least two ROI images of different sizes to obtain at least two binary images, where a white region in each binary image is a region in which a wrinkle is suspected to appear. The terminal device fuses the at least two binary images to obtain a final image, where a white region on the final image is recognized as a wrinkle.

Wrinkle detection method and terminal device

A wrinkle detection method includes: rotating a region, in a face image, in which a wrinkle needs to be detected, to obtain a plurality of to-be-detected images; determining wrinkle points from all pixel points based on grayscale values of the pixel points in each of the to-be-detected images with different angles; determining at least one wrinkle line based on the wrinkle points; and then displaying, by the electronic device, the wrinkle line in the region in which the wrinkle needs to be detected, where each wrinkle line indicates one wrinkle in each of the to-be-detected images.

Wrinkle detection method and electronic device

An image acquisition method includes acquiring a first image based on a first photographing parameter, where the first image includes a first to-be-detected item, acquiring a second image based on a second photographing parameter, where the second image includes a second to-be-detected item, and determining, based on the first image and the second image, a detection result corresponding to the first to-be-detected item and a detection result corresponding to the second to-be-detected item.

Image acquisition method, apparatus, and terminal

A skin detection method includes: dividing a region of interest in a face image into a highlighted region and a non-highlighted region; separately determining a first segmentation threshold of the highlighted region and a second segmentation threshold of the non-highlighted region; obtaining a binary image of the highlighted region based on the first segmentation threshold, and obtaining a binary image of the non-highlighted region based on the second segmentation threshold; fusing the binary image of the highlighted region and the binary image of the non-highlighted region; and identifying, based on a fused image, pores and/or blackheads included in the region of interest.

Skin detection method and electronic device

A dark circle detection and evaluation method includes: obtaining a to-be-processed image; extracting a dark circle region of interest from the to-be-processed image; performing color clustering on the dark circle region of interest to obtain n types of colors in the dark circle region of interest, where n is a positive integer; recognizing a dark circle region in the dark circle region of interest based on the n types of colors; and obtaining a dark circle evaluation result based on the dark circle region.

Dark circle detection and evaluation method and apparatus

A skin detection and evaluation method includes: obtaining a face image of a user; detecting a skin problem that appears in the face image; prompting in a first interface, the user that the skin problem appears on a face, wherein the first interface comprises the face image; and displaying a second interface in response to a first operation performed by the user in the first interface, wherein the second interface comprises a first facial simulated image obtained after the skin problem is aged; or displaying a third interface in response to a second operation performed by the user in the first interface, wherein the third interface comprises a second facial simulated image obtained after the skin problem is de-aged.

An electronic device having a flexible display screen and a processing method thereof, where bending the electronic device may cause the electronic device to switch between a smartphone mode and a wearable mode. In the wearable mode, the electronic device displays content on a part of the flexible display screen.

Electronic device having flexible display screen and processing method thereof

In an example information search method, if a first terminal performs a first search based on a first keyword, and does not obtain a result, the first terminal generates a request for performing a second search, and sends, to a network device, the request for performing the second search. The network device sends a second request to a second terminal. The second terminal performs the second search based on the first keyword, obtains a second search result, and sends the second search result to the first terminal. Through this technique, it can be effectively ensured that a user finds a search result corresponding to the first keyword, and that user privacy is also ensured.

Information search method, terminal, network device, and system

An electronic device having a touch-sensitive surface and a processing method for the electronic device. When a pressing operation on an application icon is detected on the touch-sensitive surface, a menu including m operation options is displayed on a display screen of the electronic device so that a user quickly performs different operations on an application program. The m operation options are determined based on at least one of: a quantity of times that an operation option is tapped, a time at which an operation option is taped, a location of the electronic device when an operation option is tapped, unread information in an application corresponding to the application icon, data obtained before the application is suspended, data obtained when the application runs in the background, or a communication object in the application.

Method and electronic device for displaying a menu in association with an application icon

An eye open or closed state detection method, in addition to an eye opening feature, an iris shape feature and/or a vertical direction feature are added to identify the eye open or closed state, where the eye opening feature is used to represent an eye opening degree, the iris shape feature is used to represent a shape of an iris of an eye, and the vertical direction feature is used to represent a change degree of an eyelid curve.

Eye open or closed state detection method and electronic device

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