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.

The invention concerns a method implemented by computer means for visualizing at least a zone of an object in at least one interface, said method comprising the following steps: obtaining at least one image of said zone, said image comprising at least one channel, said image being a 2-dimensional or 3-dimensional image comprising pixels or voxels, a value being associated to each channel of each pixel or voxel of said image, a representation of said image being displayed in the interface, obtaining at least one annotation from a user, said annotation defining a group of selected pixels or voxels of said image, calculating a transfer function based on said selected pixels or voxels and applying said transfer function to the values of each channel of the image, updating said representation of the image in the interface, in which the colour and the transparency of the pixels or voxels of said representation are dependent on the transfer function.

A background image generation method, a non-transitory computer-readable storage medium and an electronic device. The background image generation method includes: acquiring a first image, searching a second image matching the first image in a preset image library; and performing a color-modulation process on the second image according to the first image, and generating a background image. The user's personalized demands regarding a background image are satisfied, and time and hardware costs for obtaining a background image are reduced.

A medical information processing system according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire information on an examination target, identify a reference image corresponding to the examination target on the basis of the information on the examination target, generate an edited image generated by editing the reference image, and transmit order information to which the edited image has been attached.

The disclosure relates to assessing operation of two or more cameras. These cameras may be a group of cameras of a perception system of a vehicle having an autonomous driving mode. A first image captured by a first camera and a second image captured by a second camera may be received. A first feature vector for the first image and a second feature vector for the second image may be generated. A similarity score may be determined using the first feature vector and the second feature vector. This similarity score may be used to assess the operation of the two cameras and an appropriate action may be taken.

Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide an image processing framework that sub-divides computer vision techniques into three computationally efficient steps: detection, classification and matching. These steps provide an improved image processing framework that can analyze live stream data of a media file, in real-time, in order to identify and track specific digital objects depicted therein. This enables not only image processing detection results, but also the capabilities of augmenting the video stream with additional data related to the detected object.

A system for displaying medical imaging data comprising one or more data inputs, one or more processors, and one or more displays, wherein the one or more data inputs are configured for receiving first image data generated by a first medical imaging device, wherein the first image data comprises a field of view (FOV) portion and a non-FOV portion, and the one or more processors are configured for identifying the non-FOV portion of the first image data and generating cropped first image data by removing at least a portion of the non-FOV portion of the first image data, and transmitting the cropped first image data for display in a first portion of the display and additional information for display in a second portion of the display.

An apparatus for delivering virtual reality data portions to a client device, including a processing unit configured to perform the following in each one of a plurality of iterations: (1) receive from a network a current orientation data indicating a current orientation of a client device, (2) apply a rotation to a segment of a sphere defined in a virtual reality (VR) video file according to the current orientation, (3) crop from the rotated segment of the sphere in an equirectangular projection format an extended field of view (EFOV) frame in the equirectangular projection format according to the current orientation, and (4) instruct the network to transmit the EFOV frame to the client device.

This disclosure relates to a picture generation method and device, a storage medium, and an electronic device. The method includes: obtaining a source portrait picture displaying a target object; cropping the source portrait picture to obtain a face region picture corresponding to a face of the target object excluding a hair portion; inputting the face region picture to a picture generation model to obtain an output result of the picture generation model, the picture generation model being obtained after machine learning training through an adversarial neural network model by using a plurality of sample pictures; and generating a target portrait picture by using the output result of the picture generation model, the target portrait picture displaying a target hairstyle matching the face of the target object. This disclosure resolves the technical problem that pictures generated in related art cannot achieve an effect expected by a user and other technical problems.

One embodiment provides a method, including: receiving, at an augmented reality device, an indication to display a video stream; identifying, using a processor, a position on a display lens of the augmented reality device on which to display an augmented image of an individual in the video stream, wherein the position on the display lens overlays a portion of an external panel; and displaying, at the position on the display lens, the augmented image of the individual. Other aspects are described and claimed.