A device and a method reduce a backlight effect on a camera of a robot in consideration of a situation of the robot. The device acquires a surrounding image, communicates with a system of the robot to obtain a current state value of the robot, and calculates a parameter value of the camera based on the current state value of the robot. Thus, the device precisely corrects the parameter of the camera based on an environment where the robot is actually located, thereby reducing the backlight effect on the camera.

An apparatus includes an image sensor configured to capture a plurality of images different in in-focus position, at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to determine a predetermined value of exposure in advance, control exposure so that the image sensor captures the plurality of images with the exposure less than the predetermined value, and correct brightness of at least a part of the plurality of images based on the predetermined value.

Embodiments of the present disclosure include an apparatus with a camera. A shutter is positioned horizontally in front of the lens of the camera. The shutter is configured to move in front of a lens of the camera and is further configured to move orthogonally to the horizontal axis so as to at least partially obscure the lens of first camera in a closed shutter position. The apparatus further includes a motor positioned horizontally behind the front of the lens of the camera. The motor is configured to move the shutter orthogonally to the horizontal axis between the closed shutter position and an open shutter position.

Embodiments of the present disclosure include an apparatus with a camera. A shutter is positioned horizontally in front of the lens of the camera. The shutter is configured to move in front of a lens of the camera and is further configured to move orthogonally to the horizontal axis so as to at least partially obscure the lens of first camera in a closed shutter position. The apparatus further includes a motor positioned horizontally behind the front of the lens of the camera. The motor is configured to move the shutter orthogonally to the horizontal axis between the closed shutter position and an open shutter position.

An electronic apparatus includes: an image sensor for acquiring pixel values of first pixels sensed during a first exposure time and second pixels sensed during a second exposure time longer than the first exposure time; and a controller for outputting an output image acquired based on pixel values of the first pixels and a corrected saturated pixel value obtained by correcting a pixel value of a saturated pixel having a pixel value exceeding a threshold value among the second pixels, using a pixel value of at least one first pixel having a distance closest to a position of the saturated pixel among the first pixels.

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.

Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different directions with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model of the body of the user.

In one or more implementations, the apparatus, systems and methods disclosed herein are directed to calibrating a smart phone with an arbitrary phone case for color lookup applications, wherein the calibration process includes obtaining, with the smartphone without the case equipped, a first measurement data set that includes at least one measurement of each of a black, white and grey calibration target; obtaining, with the smartphone with the case equipped, at least three exposure measurements of a white calibration target at least three different exposure times; calculating an optimized exposure time using at least the at least three exposure measurements; obtaining, with the smartphone with the case equipped, a second measurement data set that includes at least one measurement of each of a black, white and grey calibration target at the optimized exposure time; generating fitting parameters from the first and second measurement datasets; and storing the generated fitting parameters and optimized exposure time in at least one of a local or remote data storage device.

A system and method for controlling characteristics of collected image data are disclosed. The system and method include performing pre-processing of an image using GPUs, configuring an optic based on the pre-processing, the configuring being designed to account for features of the pre-processed image, acquiring an image using the configured optic, processing the acquired image using GPUs, and determining if the processed acquired image accounts for feature of the pre-processed image, and the determination is affirmative, outputting the image, wherein if the determination is negative repeating the configuring of the optic and re-acquiring the image.

A method of image processing based on a plurality of frames of images, an electronic device, and a storage medium are provided. The method includes: capturing a plurality of frames of original images; obtaining a high dynamic range (HDR) image by performing image synthesis on the plurality of frames of original images; performing artificial intelligent-based denoising on the HDR image to obtain a target denoised image.