A method for detecting a complexity of a traveling scenario of a vehicle includes obtaining a travelling speed of the vehicle and a travelling speed of a target vehicle, determining, based on the traveling speed of the vehicle and the traveling speed of the target vehicle, a dynamic complexity of a traveling scenario in which the vehicle is located, determining static information of each static factor in the traveling scenario in which the vehicle is currently located, obtaining, based on the static information of each static factor, a static complexity of the traveling scenario in which the vehicle is located, and obtaining, based on the dynamic complexity and the static complexity, a comprehensive complexity of the traveling scenario in which the vehicle is located.

This application provides a data sharing and instruction operation control method, and a system. In the method, a first terminal establishes a communication connection to a second terminal; the second terminal displays a user interface of a camera application, where the user interface includes a photographing parameter adjustment option; the second terminal sends the user interface including the photographing parameter adjustment option to the first terminal; the first terminal may tap the photographing parameter adjustment option on the user interface, and send a control instruction to the second terminal; and the second terminal adjusts a photographing parameter of the camera application based on the control instruction, and displays a user interface obtained after the parameter adjustment.

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.

Systems and methods for vision test and uses thereof are disclosed. A method may be implemented on a mobile device having at least a processor, a camera and a display screen. The method may include capturing at least one image of a user using the camera of the mobile device; interactively guiding the user to a predetermined distance from the display screen of the mobile device based on the at least one image; presenting material on the display screen upon a determination that the user is at the predetermined distance from the display screen; and receiving input from the user in response to the material presented on the display screen. The material presented on the display screen may be for assessing at least one characteristic of the user's vision. Mobile devices and non-transitory machine-readable mediums having machine-executable instructions embodied thereon for assessing a user's vision also are disclosed.

The present disclosure generally relates to user interfaces for altering visual media. In some embodiments, user interfaces capturing visual media (e.g., via a synthetic depth-of-field effect), playing back visual media (e.g., via a synthetic depth-of-field effect), editing visual media (e.g., that has a synthetic depth-of-field effect applied), and/or managing media capture.

A camera system for collecting image data in a clinical environment includes a camera configured to acquire color (RGB), near-infrared, and depth image data and a plurality of LED modules held proximate to the camera such that the LED modules are configured to illuminate a subject while image data is collected by the camera. The camera system also includes a microcontroller in electrical communication with the camera and the plurality of LED modules. The microcontroller is configured to actuate the plurality of LED modules and the camera such that the camera acquires the image data. A computing device is in electrical communication with the camera and the microcontroller.

A spatial indexing system receives a video that is a sequence of frames depicting an environment, such as a floor of a construction site, and performs a spatial indexing process to automatically identify the spatial locations at which each of the images were captured. The spatial indexing system also generates an immersive model of the environment and provides a visualization interface that allows a user to view each of the images at its corresponding location within the model.

An electronic device includes a first display unit, a communication unit configured to communicate with an external device including a second display unit, and a control unit configured to rotate an image to be displayed on the first display unit, in accordance with a rotational angle in a plane parallel to a screen of the first display unit, and rotate an image to be output to the external device, in accordance with the rotational angle of the first display unit and a rotational angle in a plane parallel to a screen of the second display unit.

An imaging assistance control apparatus according to the present technology includes a control unit that performs control such that guidance regarding a composition change operation by a user is performed by tactile presentation to the user on the basis of a difference between a target composition and an actual composition.

A method for capturing digital data for fabricating a dental splint involves displaying a GUI on a display of a smartphone that provides an alignment feature for a user to align a camera of the smartphone to a first position that captures teeth of a person, receiving digital video of the teeth, overlaying the alignment feature on the digital video of the teeth on the display, moving the alignment feature on the screen in a manner that causes the user to move the smartphone relative to the teeth to maintain alignment with the alignment feature, capturing digital image information of the teeth as the alignment feature is moved, the captured digital image information including depth information, and transmitting the captured digital image information, including the depth information, from the smartphone for use in fabricating a dental splint.