An under-display camera is positioned underneath a display of a mobile device. The under-display camera captures an image using light passing through a portion of the display. The mobile device displays a display image on the display, the display image based on the image. The mobile device displays an indicator overlaid over the display image on an indicator area of the display that overlaps with the portion of the display. The indicator may identify the position of the camera. The mobile device can compensate for occlusion of the camera by continuing to display a previous display image if a more recently captured image includes an occlusion. The mobile device can give users alternate ways to select areas of the display image to avoid camera occlusion, for instance using hardware buttons and/or touchscreen interface elements.

An image is analyzed, a scene of the image is recognized, imaging information regarding capturing in a case where the image is captured is acquired, and reproduction information in a case where the image is reproduced on a display is acquired. An image coincident with preference of a user of the imaging device from among images having the same scene is decided for each scene based on the reproduction information, and a preference parameter table in which the scene and imaging information of the imaging device in a case where the image coincident with the preference of the user is captured are stored in association with each other is created. Imaging information associated with a scene coincident with a scene of an image to be captured next by the user is selected from the preference parameter table, and an image is captured by using the imaging information.

This application discloses a photographing method and apparatus, to overcome blurring that occurs during photographing. When a zoom ratio is greater than a first zoom ratio threshold, a long-focus camera is started to capture an image. A zoom ratio of the long-focus camera is greater than or equal to the first zoom ratio threshold. Because a high zoom ratio causes large shake, a rotational blur occurs in the image. According to the photographing method disclosed in this application, a first neural network model for rotational image deblurring is used to implement rotational image deblurring processing. In this way, high imaging quality of an image, a video, or a preview image is presented to a user to some extent, and the imaging effect may not be inferior to the effect of photographing with a tripod.

Provided are a photographing method and a terminal, relating to the field of electronic devices, and by which a user can be instructed based on a template to adjust a position or an attitude of a mobile phone, to obtain a photo or a video whose composition is the same as or similar to that of the template, thereby improving the user photographing experience. The method specifically includes: after starting a first function of a camera application, an electronic device calculates a moving direction and distance of the electronic device and/or calculates a rotation direction or a rotation angle of the electronic device based on a target template selected by a user and a currently acquired preview and through feature point matching or an AR repositioning technology, so that the electronic device can photograph a photo or a video whose composition is the same as that of the target template.

There is provided an imaging support apparatus including a processor, and a memory in which the memory stores a first trained model, the first trained model is a trained model used for control related to imaging performed by an imaging apparatus, and the processor is configured to generate a second trained model used for the control by performing learning processing in which a first image, which is acquired by being captured by the imaging apparatus, and a set value, which is applied to the imaging apparatus in a case where the first image is acquired, are used as teacher data, and perform specific processing based on a first set value, which is output from the first trained model in a case where a second image is input to the first trained model, and a second set value, which is output from the second trained model in a case where the second image is input to the second trained model.

A shooting method includes: displaying, on the display, a shooting preview interface collected by a first camera; displaying, on the shooting preview interface, a first image composition and a second image composition that respectively correspond to a first subject and a second subject, where the first subject is different from the second subject; displaying a guide mark on the shooting preview interface, to guide a user to operate the electronic device, so that a framing range of the second camera and the first image composition meet a matching condition; and in response to meeting the matching condition, displaying a first recommended image including the first subject on the display, where the first recommended image is collected by a second camera, wherein an angle of view of the first camera is greater than an angle of view of the second camera.

The present application relates to a method of acquiring a side image for analyzing the degree of ocular proptosis. According to an embodiment, an image acquisition method is provided which is including: acquiring a front image of the subject's face while guidance is

Oven to satisfy a first photographing condition; generating panorama guidance on the basis of position information of a first point and a second point extracted from the front image; providing guidance on movement of a photographing device to acquire a preview image corresponding to the panorama guidance; and acquiring a side image of the subject's face while guidance is given to satisfy a second photographing condition. The first captured image shows iris areas of the subject, and the second captured image shows an outer canthus and a cornea of one of the subject's eyes.

A method for improving manner of display of surveillance video to extract components or types of components for independent display from the video. The displayable components are divided into at least one subject. A repeating displayed list is created corresponding to the at least one component or type of component. The videos corresponding thereto can be displayed in turn based on the display list in response to a play instruction from user. An electronic device and a computer readable storage medium applying the method are also provided.

In some examples, an unmanned aerial vehicle (UAV) may determine, based on a three-dimensional (3D) model including a plurality of points corresponding to a scan target, a scan plan for scanning at least a portion of the scan target. For instance, the scan plan may include a plurality of poses for the UAV to assume to capture images of the scan target. The UAV may capture with one or more image sensors, one or more images of the scan target from one or more poses of the plurality of poses. Further, the UAV may determine an update to the 3D model based at least in part on the one or more images. Additionally, the UAV may update the scan plan based at least in part on the update to the 3D model.

Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.