Systems and methods for capturing one or more images include a smart capture mode for detecting one or more reflective objects in an image to be captured by a device, and determining whether a display provided in the device will cause a disturbance when the image is captured, the disturbance based on one or more reflections of the display on the one or more reflective objects. A brightness of the display is adjusted prior to capturing the image based on determining that the display will cause the disturbance, where adjusting the brightness of the display reduces the disturbance in the image when the image is captured. The brightness of the display can be adjusted by dimming or turning off the display. The display can be returned to a previous state upon capturing the image, the previous state being prior to the brightness of the display being adjusted.

The present disclosure relates to an imaging system, a control method, and a program capable of optimizing a release time lag.

An external flash transmits a light emission preparation time from when reception of a light emission command is completed until when a light emission trigger is acceptable. An imaging device communicates with the external flash, acquires the light emission preparation time, and optimizes an output timing of the light emission trigger on the basis of the light emission preparation time. The present technology is applicable to, for example, an imaging system including an external flash and an imaging device.

A video processing apparatus includes a light irradiation unit, a video acquisition unit, a motion detection unit, and an imaging control unit. The light irradiation unit irradiates a face of an object of shooting with light. The video acquisition unit acquires a video capturing the face of the object of shooting. The motion detection unit detects a speed of motion of at least a portion of the face in the video acquired by the video acquisition unit. The imaging control unit changes an open period of a shutter in the video acquisition unit and a light emission intensity of the light irradiation unit based on the speed detected by the motion detection unit.

In order to enable high image acquisition rate with simultaneous low energy consumption of a camera 1, a camera (1), in particular a 3D time-of-flight camera, is provided, comprising an illumination unit (2) which emits light pulses during an illumination phase (Bp), an image sensor (3) which generates images from the light pulses reflected by an object, a switching controller (4) which controls current to the illumination unit (2), the switching controller (4) being operable in a continuous and a discontinuous mode (CCM; DCM), and a control unit (5) which is designed to activate and deactivate the continuous mode (CCM) of the switching controller (4) as a function of the illumination phase (Bp) of the illumination unit (2).

There is provided an image processing device including: a plurality of light sources each emitting a plurality of lights; a camera outputting a first subject image obtained by photographing a subject; and a control unit controlling each of the plurality of light sources according to an optical coded pattern set based on a complex modulation transfer function during a shutter exposure time of the camera, and outputting a second subject image in which motion blur is removed from the first subject image according to point spread functions for each color channel modulated by the optical coded pattern set.

A depth camera assembly (DCA) has a light source assembly, a mask, a camera assembly, and a controller. The light source assembly includes at least one light source. The mask is configured to generate an interference pattern that is projected into a target area. The mask has two openings configured to pass through light emitted by the at least one light source, and the light passed through the two openings forms an interference pattern across the target area. The interference pattern has a phase based on a position of the light source. The camera assembly is configured to capture images of a portion of the target area that includes the interference pattern. The controller is configured to determine depth information for the portion of the target area based on the captured images.

Embodiments of systems and methods for using electronic diffusers to implement message indicators are described. A segment of a diffuser attached to an electronic device is configured to indicate an informational message in response to signals that result in a change to an optical property. A set of information to be displayed using the segment is determined, and a signal is transmitted to the segment to display the information.

The disclosure extends to methods, systems, and computer program products for producing an image in light deficient environments and associated structures, methods and features. The features of the systems and methods described herein may include providing improved resolution and color reproduction.

The image-capturing apparatus (100) includes an image sensor (14), a focus detector (42) performing focus detection using output from the image sensor; and a controller (50) configured to cause the focus detector to perform the focus detection and configured to control emission of a light emitter for illuminating an object and movement of a focus element for focusing. The controller selectively performs: a first focus detection process that causes the focus detector to perform the focus detection with the focus element being stopped while causing the light emitter to intermittently emit light; and a second focus detection process that causes the focus detector to perform the focus detection with the focus element being moved while causing the light emitter to intermittently emit the light.

A method of detecting occupants in a vehicle includes detecting an oncoming vehicle and acquiring a plurality of images of occupants in the vehicle in response to detection of the vehicle. The method includes performing automated facial detection on the plurality of images and adding a facial image for each face detected to a gallery of facial images for the occupants of the vehicle. The method includes performing automated facial recognition on the gallery of facial images to group the facial images into groups based on which occupant is in the respective facial images, and counting the final group of unique facial images to determine how many occupants are in the vehicle.