The present disclosure provides a laser projection component and a detection method thereof, and an electronic device. The laser projection component is applicable to the depth camera component and is configured to project a laser pattern. The detection method includes: obtaining the laser pattern; determining whether a preset identifier exists in the laser pattern; and determining that the depth camera component is abnormal when the preset identifier does not exist in the laser pattern.

The present disclosure generally relates to user interfaces. In some examples, the electronic device provides for transitioning between simulated lighting effects. In some examples, the electronic device applies a simulated lighting effect to an image. In some examples, the electronic device provides user interfaces for applying a filter to an image. In some examples, the electronic device provides for a reduced filter interface. In some examples, the electronic device provides a visual aid displayed in a viewfinder.

The present disclosure generally relates to user interfaces. In some examples, the electronic device provides for transitioning between simulated lighting effects. In some examples, the electronic device applies a simulated lighting effect to an image. In some examples, the electronic device provides user interfaces for applying a filter to an image. In some examples, the electronic device provides for a reduced filter interface. In some examples, the electronic device provides a visual aid displayed in a viewfinder.

An imaging apparatus (100) comprises a signal processor (130) generating image data according to an imaging result of an imaging device (110), and a data transmission status notifying part (180) controlling, when the image data has been output to the outside, a data transmission status displaying part (181) to notify that the image data has been output to the outside.

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.

Techniques for user state for user image in media content are described and are implementable to enable a user state of a user to be determined and to control whether a user image is included in media content based on the user state. Generally, the described implementations enable different user states to be defined and utilized to control inclusion of user images with media content.

This disclosure can provide a display device and a display method. The display device includes at least one camera configured to capture an environmental scenario image; a display configured to display a user interface; a controller in communicated with the display, configured to receive a command, input by a user, for obtaining a content recommendation resource associated with content currently displayed in the user interface; determine whether an application corresponding to the content currently displayed in the user interface is an application invoking the at least one camera, and if yes, display a first user interface, where the first user interface displays a first image captured by the at least one camera.

An imaging apparatus according to an embodiment includes: an imaging unit having a pixel region in which a plurality of pixels is arranged; a readout controller that controls readout of pixel signals from pixels included in the pixel region; a first unit-of-readout setting unit that sets a unit of readout as a part of the pixel region, for which the readout controller performs readout of the pixel signal; an image output unit that outputs a first image based on the pixel signal read out from the unit of readout to a subsequent stage; a second unit-of-readout controller that controls the unit of readout in which the readout controller performs readout of the pixel signal; and a recognition unit that learns training data for each of the units of readout, performs a recognition process on the pixel signal for each of the units of readout, and outputs a recognition result.

A method of camera processing including receiving a first image, determining one or more first automatic white balance (AWB) parameters for the first image, determining one or more second AWB parameters for a region-of-interest (ROI) of the first image, applying the one or more first AWB parameters to one or more of the first image or a second image, and adjusting the ROI of one or more of the first image or the second image based on the one or more second AWB parameters.

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.