An image blur correction apparatus comprises a calculation unit configured to calculate a movement amount of a moving device configured to move an image of a subject on an imaging plane, an acquisition unit configured to acquire information of a position of the moving device, a control unit configured to control movement of the moving device, and a selection unit configured to select either to cause the control unit to perform the control by a first image blur correction mode, or to perform the control by a second image blur correction mode in which the position variation amount of the moving device associated with the change of acceleration applied to the apparatus becomes smaller than the first image blur correction mode.

Systems and methods are described for generating image content. The systems and methods may include, in response to receiving a request to cause a sensor of a computing device to identify image content associated with optical data captured by the sensor, detecting a first sensor data stream having a first image resolution, and detecting a second sensor data stream having a second image resolution. The systems and method may also include identifying, by processing circuitry of the computing device, at least one region of interest in the first sensor data stream, determining cropping coordinates that define a first plurality of pixels in the at least one region of interest in the first sensor data stream, and generating a cropped image representing the at least one region of interest.

In one general aspect, a method can include capturing, using an image sensor, a first raw image at a first resolution, converting the first raw image to a digitally processed image using an image signal processor, and analyzing at least a portion of the digitally processed image based on a processing condition. The method can include determining that the first resolution does not satisfy the processing condition; and triggering capture of a second raw image at the image sensor at a second resolution greater than the first resolution.

Broadly speaking, the present techniques generally relate to a method and apparatus for video recognition, and in particular relate to a computer-implemented method for performing video recognition using a transformer-based machine learning, ML, model. Put another way, the present techniques provide new methods of image processing in order to automatically extract feature information from a video.

A thermographic camera control method includes periodically correcting a display temperature of a temperature distribution image at a first interval; and acquiring the temperature distribution image by periodically imaging a temperature measurement target by the thermographic camera at a second interval. The acquiring the temperature distribution image includes imaging the temperature measurement target after elapse of a standby time. The standby time is shorter than the second interval and starts from the correcting the display temperature.

Systems, methods, and non-transitory media are provided for tracking operations using data received from a wearable device. An example method can include determining a first position of a wearable device in a physical space; receiving, from the wearable device, position information associated with the wearable device; determining a second position of the wearable device based on the received position information; and tracking, based on the first position and the second position, a movement of the wearable device relative to an electronic device.

A system includes a processor and a non-transitory computer-readable medium containing instructions that when executed by the processor causes the processor to perform operations comprising displaying a prompt to a user of a mobile device on a display of a mobile device to capture an image representing at least a portion of a mouth of the user using a rear-facing camera of the mobile device, where the rear-facing camera is on an opposite side of the mobile device including the display. The operations further comprise controlling the rear-facing camera to enable the rear-facing camera to capture the image, receiving the image, and outputting, user feedback based on the image, where the user feedback is outputted on the display that is on the opposite side of the mobile device than the rear-facing camera.

According to some embodiments, a processor reads a force from a touch control. Hysteretic behavior is provided through at least three different actuation states and at least four different force threshold values, allowing user-friendly control of disparate actions through one touch interface with applications in volume control, photography, and user authentication. Other possibilities are shown and discussed.

According to certain embodiments, an image sensor including a pixel, the pixel including a micro lens, a plurality of photodiodes, and a color filter disposed between the plurality of photodiodes and the micro lens; a processor operatively connected to the image sensor; and a memory operatively connected to the processor, wherein the memory stores one or more instructions that, when executed by the image sensor, cause the image sensor to perform a plurality of operations, the plurality of operations comprising: determining whether the image sensor is in a high-resolution mode; when the image sensor is in the high-resolution mode, calculating a disparity based on signals detected from the plurality of photodiodes; when the disparity is not greater than a threshold value, applying a first remosaic algorithm to the signals; and when the disparity is greater than the threshold value, applying a second remosaic algorithm to the signals.

In a solid-state image sensor that detects an address event, the detection sensitivity for the address event is controlled to an appropriate value. The solid-state image sensor includes a pixel array unit and a control unit. In the solid-state image sensor, multiple pixel circuits are arranged in the pixel array unit, each detecting a change in luminance of incident light occurring outside a predetermined dead band as the address event. The control unit controls the width of the dead band according to the number of times the address event is detected in the pixel array unit within a fixed unit cycle.