Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Shenzhen Heytap Technology Corp., Ltd.

Guohui Tan

Haitao Zhou

Jian Bai

Dan Ouyang

Ziqing Guo

Biao Chen

Xiangnan Lyu

Xiao Tan

Hai Tang

Xueyong Zhang

Hu Li

Zhengpeng Tan

Yang Xia

Ting Chen

Fenghua Xu

Cheng Tang

Fangfang Hui

Kamwing Au

Chengpeng Du

Zhihua Tian

The present disclosure provides a communication method, and an electronic device. The method includes: obtaining, by an electronic device, a plurality of 2D images and/or a plurality of depth maps for a current scene, the plurality of 2D images and/or the plurality of depth maps being aligned in time; and transmitting, by the electronic device, the plurality of 2D images and/or the plurality of depth maps to the server by means of wireless communication.

Communication methods and systems, electronic devices, servers, and readable storage media

Disclosed in embodiments of the present disclosure is a system for controlling a laser projector, a laser projector assembly, a terminal, a method for controlling a laser projector, a method for controlling a laser light output, a device for controlling a laser light output and a computer readable storage medium. The system includes a first drive circuit coupled to the laser projector. The first drive circuit is configured to output an electrical signal to drive the laser projector to project laser light and to turn off the laser projector when a duration of outputting the electrical signal is greater than or equal to a preset threshold.

System and method for controlling laser projector, laser projector assembly and terminal

A method for image selection applied to a mobile terminal including a camera may include: acquiring image information of a first image, the image information of the first image comprising a first acceleration value of the mobile terminal in response to the camera capturing the first image, the first image being any one of at least two images successively captured by the camera; and determining that the first image satisfies a multi-frame denoising processing condition in response to the first acceleration value being smaller than a preset acceleration threshold.

Image selection method and related product

The present disclosure provides a detection method of a projector, a projector, and an electronic device. The method includes: obtaining a speckle pattern, the speckle pattern being an image generated by irradiating laser light generated by a light source in the projector onto an object by an optical element; and performing an abnormality detection on the projector according to the speckle pattern.

Projector, detection method thereof, and electronic device

The present disclosure provides a control method of a camera module, a control device, a terminal, a nonvolatile computer readable storage medium and a computer device. The control method includes: obtaining a projection distance between a target user and the camera module; determining a control parameter of the camera module according to the projection distance and controlling the camera module based on the control parameter.

Control method based on facial image, related control device, terminal and computer device

An image processing method, an apparatus, a non-transitory computer readable storage medium and an electronic device are disclosed. The method includes: acquiring an accuracy level of a target application in response to an image collecting instruction initiated by the target application; adjusting an accuracy of an image to be sent according to the accuracy level, and obtaining a target image; and sending the target image to the target application.

Method, apparatus, and computer-readable storage medium for obtaining a target image

A method for picture processing is provided. The method includes the following. Multiple pictures are obtained through photographing. At least two pictures are selected from the multiple pictures, and according to facial information of each of the at least two pictures, feature information of a preset facial part in each of the at least two pictures is obtained. One or more target pictures are determined in response to the feature information of the preset facial part in one of the at least two pictures indicating that the preset facial part is in a preset feature state, where the one of the at least two pictures is determined as one target picture. When multiple target pictures are obtained, a multi-frame denoising processing is performed on the target pictures to obtain an output picture.

Method for picture processing, computer-readable storage medium, and electronic device

Embodiments of the present disclosure provide a system for controlling a camera component, the camera component is applicable for an electronic device, and the system may include a first processing unit and a target processing unit. The target processing unit is configured to control the camera component. The first processing unit is configured to determine whether the target processing unit writes data to the first processing unit in accordance with a preset time interval, and when the target processing unit does not write data to the first processing unit over the preset time interval, change an operating state of the camera component and/or control the electronic device to restart.

System, method and device for controlling electronic device and its target camera and laser projector

The present disclosure provides an image processing method, an image processing apparatus, a computer readable storage medium, and an electronic device. The method includes: in response to detecting that a camera component is turned on, controlling the camera component to collect a speckle image, the speckle image being an image formed by illuminating an object with laser speckles; detecting a target temperature of the camera component, and acquiring a corresponding reference image based on the target temperature, the reference image being an image with reference depth information and collected when calibrating the camera component; and calculating based on the speckle image and the reference image to acquire a depth image.

Image processing methods and apparatuses, computer readable storage media, and electronic devices

The present disclosure provides a method and an apparatus for controlling image capturing, and an electronic device. The method includes: a second processing unit controlling a second camera to collect a second image according to a data obtaining request and sending an image collection instruction to a first processing unit in response to receiving the data obtaining request; the second processing unit obtaining exposure time periods of the first camera and the second camera in response to receiving a synchronization signal sent by the second camera; the second processing unit calculating a delay time period according to the exposure time periods; the second processing unit forwarding the synchronization signal to the first camera in response to a time period of receiving the synchronization signal reaching the delay time period; and the first processing unit processing the first image, and sending the processed first image to the second processing unit.

Method for processing a captured image and electronic device

A method and an apparatus for processing data, and a computer readable storage medium. The method includes: turning on at least one of a floodlight or a laser light, and operating a laser camera to collect a target image in response to a first processing unit receiving an image collection instruction sent by a second processing unit; and performing processing on the target image via the first processing unit, and sending the target image processed to the second processing unit.

Method and apparatus for performing image processing, and computer readable storage medium

An image-processing method, an apparatus and a device are provided. The method includes: controlling a primary camera to capture a plurality of primary images, and simultaneously controlling a secondary camera to capture a plurality of secondary images; obtaining a reference primary image from the primary images, and obtaining a reference secondary image co-captured with the reference primary image from the secondary images; starting a multithread-based parallel processing mechanism, calling a first thread to perform a multiframe-synthesizing noise-reduction process for the primary images so as to generate a target primary image, and simultaneously calling a second thread to obtain depth information according to the reference primary image and the reference primary image; and performing a blurring process for a background region of the target primary image according to the depth information. Thus, it improves the accuracy of calculating the depth information and the image-processing efficiency thereof.

Image-processing method, apparatus and device

A method for image processing includes the following actions. After n frames of first images shot by a main camera are acquired and an auxiliary image shot by an auxiliary camera is acquired, synthetic noise reduction is performed on the n frames of first images to obtain a frame of main image. Depth information of the main image is further calculated according to the main image and the auxiliary image. Therefore, blurring processing is performed on the main image according to the depth information of the main image to obtain a required second image.

Method and device for image processing

The present disclosure provides an image processing method, and a device. The method includes controlling a first camera to capture a plurality of first images and controlling a second camera to capture a plurality of second images; acquiring a first reference image from the plurality of first images and acquiring a second reference image from the plurality of second images; performing composition and noise reduction processing on the plurality of primary images by a first thread to generate a composited and noise-reduced image and processing the composited and noise-reduced image according to a preset image processing strategy to generate a target image and acquiring depth of field information based on the first reference image and the second reference image by a second thread; and blurring a background region of the target image according to the depth of field information.

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Guangdong, China

Guohui Tan