Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

A method for image capture includes identifying a bright spot in an image. A neural network is used to recover details in bright spot area through a trained de-noising process. Post-processing of the image is conducted to match image parameters of recovered details in the bright spot area to another area of the image.

A method of identifying a flange specification based on an augmented reality interface includes steps of: providing a first interface, through which an operator picks real-time images of a flange at different viewing angles, and creating a virtual flange surface according to the real-time images; providing a second interface, through which the operator picks three circumferential points corresponding to the flange, and creating a virtual flange model having a virtual outer diameter; providing a third interface, through which the operator adjusts a virtual pitch circle diameter of the virtual flange model; providing a fourth interface, through which the operator adjusts a virtual thickness of the virtual flange model; providing a fifth interface, through which the operator inputs a count of bolts; and searching a database according to the virtual outer diameter, the virtual pitch circle diameter and the virtual thickness of the virtual flange model to obtain searched results.

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.

Described examples relate to an apparatus comprising a first sensor configured to scan an area of interest during a first time period and a second sensor configured to capture a plurality of images of a field of view. The apparatus may include at least one controller configured to receive the plurality of images captured by the second sensor, compare the timestamp information associated with at least one image of the plurality of images to at least one time period of the first time period, and select a base image from the plurality of images based on the comparison.

A system for providing dynamic roadside assistance coordination may include a customer mobile device or vehicle in direct, or indirect, wireless communication with an insurance provider and/or service provider remote server. The customer's device may transmit a request for roadside assistance (e.g., towing services), and a current GPS location. In response, a closest, trusted service provider vehicle may be determined, and then directed to the customer's location. For instance, a software application may receive the customer location and compare it with availability information to match the customer with a close and trusted service provider. The customer's device may receive an acknowledgement that help is on the way, and be able to track the current location of the service provider vehicle while en route. Payment for the roadside assistance may be automatically and electronically paid by the insurance provider. As a result, prompt and safe roadside assistance may be provided.

The present document describes a vehicle-side image capturing system and method that is capable of improving qualities of images captured at vehicle-side. The system includes: a controller, a plurality of cameras, a light sensor and an encoder each connected to the controller. The controller is configured to: receive an illumination intensity of a current environment from the light sensor, select one of the plurality of cameras that is adapted to the illumination intensity as a target camera, activate when the target camera is different from a currently operating camera, deactivate the currently operating camera then configure the target camera as an operating camera for image capturing, and receive images captured by the operating camera and transmit the received images to the encoder. The encoder is configured to encode the received images and transmit the encoded images.

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.

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.