Honor Device Co., Ltd.

Huawei Technologies Co., Limited

Yongtao Jiang

Wenmei Gao

Chen Dong

Xin Ding

Hongwei Hu

Yu Zhu

Lei Qin

Peida Xu

Yuewan Lu

Hongbao Li

Zhizhi Guo

Heng Zhou

Tianluo Chen

Deyu Zhou

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

A method for determining validity of a facial feature, and an electronic device are provided. The method includes: determining posture information and/or facial change information based on a facial feature of a first video image, where the posture information is used to represent deflection of a character's head indicated by the facial feature in the first video image, the facial change information is used to represent a position change status of the character's head in the first video image and a second video image, and the second video image is a frame of image preceding the first video image in a video stream to which the first video image belongs; and determining whether the facial feature is an invalid feature based on the posture information and/or the facial change information, and further determining whether to perform three-dimensional reconstruction processing on the character's face in the first video image.

Method for determining validity of facial feature, 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

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

Blood pressure detection signal sampling and compensation methods and apparatuses, and an example blood pressure signal collection system are described. One example method described includes controlling an electrocardiogram (ECG) sampling module and a photoplethysmogram (PPG) sampling module to simultaneously sample a standard periodic signal. Sampling frequencies and sampling end times are separately obtained. A sampling start time and a sampling frequency of the ECG sampling module or the PPG module is then compensated so that a sampling frequency deviation is less than a preset frequency threshold and a sampling end time difference is less than a preset time threshold.

Blood pressure detection signal sampling and compensation method and apparatus, and blood pressure signal collection system

A photographing method of an electronic device is provided. The electronic device includes a display screen. In some embodiments, display screen displays an icon of a first application. In those embodiments, display screen displays a user interface of the first application in response to an operation on the icon, where the user interface includes a photographing button. The display screen also displays a photographing preview interface of a second application in response to an operation on the photographing button, where the second application is a camera application, and the photographing preview interface is used to display an image collected by the camera. When ambient light meets a photographing condition, the electronic device automatically photographs the image collected by the camera.

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Shenzhen, China

Yongtao Jiang