Abstract: The imaging apparatus includes an imaging element including an imaging surface on which light from a subject is incident, a first filter unit including an electronic first optical filter capable of changing a light transmittance, and a first drive mechanism that rotates the first filter unit about a first rotation center line between a first filtering position and a first retraction position. The first filtering position is a position where the first optical filter exists in front of the imaging surface of the imaging element and light before reaching the imaging surface passes through the first optical filter, and the first retraction position is a position where the first filter unit is out of the front of the imaging surface.

Abstract: An image capture device includes a casing, a camera module, a rotatable member, and a pan-tilt module. The casing includes front and rear casings. The camera module is disposed in the casing. A portion of the camera module is through an opening region of the front casing. The camera module includes a lens module bracket and a lens module disposed therein. The rotatable member is fixed on the lens module bracket. The rotatable member is configured to rotate the camera module when the rotatable member is rotated relative to the casing, so that the lens module is switched between horizontal and vertical shooting modes. The pan-tilt module includes a motor bracket, first and second motors. The first motor is connected between one end of the motor bracket and a sidewall of the casing. The second motor is connected to another end of the motor bracket.

Abstract: Audio-visual systems and methods are configured to determine a first talker location based on a first group of sound locations corresponding to audio detected by the microphone in association with one or more talkers; receive a new sound location for new audio detected by the microphone in association with at least one talker; determine a proximity of the new sound location to the first group of sound locations; based on the new sound location being in close proximity to one or more of the sound locations in the first group, determine a second talker location based on the new sound location and the first group of sound locations; determine a second proximity of the second talker location to the first talker location; provide the second talker location to the camera if the second proximity meets or exceeds a threshold; and otherwise, provide the first talker location the camera.

Abstract: A photoelectric conversion device includes a plurality of pixels arranged to form a plurality of columns, a plurality of column circuits provided corresponding to the plurality of columns and each configured to read out a signal acquired by a pixel of the corresponding column, a first processing unit configured to perform an arithmetic processing on each of the signals output from the plurality of column circuits, the arithmetic processing including a processing of reducing a gain error component of the column circuit generated in the column circuit and superimposed on the signal, and a second processing unit configured to perform an arithmetic processing of reducing a noise generated in the pixel and superimposed on the signal on the signals processed by the first processing unit.

Abstract: Generally described, one or more aspects of the present application relate to capturing and generating viewpoints of any given space. Pixel averaging and camera configurations, including microlens cameras, may be implemented to generate and capture viewpoints of any given space.

Abstract: An image compensation circuit for controlling a luminance of a display panel is configured to: receive a plurality of image data; perform gamma tuning to convert the plurality of image data into a plurality of original gamma codes according to a plurality of first compensation values corresponding to a first operation mode; calculate a plurality of gamma difference values between the plurality of first compensation values and a plurality of second compensation values corresponding to a second operation mode; and calculate a plurality of output gamma codes corresponding to the second operation mode according to the plurality of original gamma codes by using the plurality of gamma difference values.

Abstract: Techniques for guiding camera focusing using barcode images are described herein. In an example, a computer system receives an image of a calibration target having a center that is aligned with an optical axis of a camera that generated the image. The calibration target includes steps that are located at different depths with respect to a lens of the camera. The calibration target includes barcode sets. Individual barcodes of a barcode set have a barcode attribute. The computer system decodes the barcode sets in the image and determines a set of decoded barcodes of the barcode sets. The computer system determines, for individual steps, a sharpness metric based on the barcode attribute of individual barcodes of the set of decoded barcodes and determines an adjustment of a focal plane of the lens based on the sharpness metric for the individual steps.

Abstract: This application provides a video processing method and a related electronic device. The video processing method includes: When generating a video, the electronic device may perform image zooming based on a change in a zoom ratio, or may perform audio zooming on an audio based on a change in a zoom ratio. That the electronic device performs audio zooming on the audio includes: When the zoom ratio increases and an angle of view decreases, suppressing a sound of an object outside a photographing range and enhancing a sound of a photographed object within the photographing range; when the zoom ratio decreases and the angle of view increases, suppressing a sound of an object outside the photographing range and weakening a sound of a photographed object within the photographing range.

Abstract: A processing device comprises a processing unit configured to derive pixel values corresponding to respective parameters based on a pixel value of one captured image among a plurality of images captured by a capturing device with different parameters and a parameter corresponding to a respective one of the plurality of captured images, and an obtainment unit configured to obtain a characteristic in the capturing device based on a pixel value of respective one of the plurality of captured images and the derived pixel values.

Abstract: Computer program products, methods, systems, apparatus, and computing entities are provided for optimizing package delivery and confirmation are disclosed. In one embodiment, the system's processors accesses a first image of an assigned delivery location captured by a first computing device. The first image comprises an annotation indicating a specific location at the assigned delivery location for delivery of a parcel. At a display device of a second computing device, a real-time image stream comprising the annotation is captured by a camera of the second computing device is displayed. The annotation is overlaid within the real-time image stream based on comparing the first image received from the first computing device to the real-time image stream. The system further captures, from the real-time image stream, a second image when the parcel is positioned at the specific location based on the annotation overlaid within the real-time image stream.

Abstract: Systems and methods for image processing, and specifically for color reconstruction of an output signal from a multispectral imaging sensor (MIS), are described. Embodiments of the present disclosure receive image sensor data from an image sensor of a camera device; apply a non-linear color space mapping to the image sensor data using a neural network to obtain image data, wherein the non-linear color space mapping comprises a non-negative homogeneous function; and store the image data in a memory of the camera device.

Abstract: There is provided an information processing apparatus, an information processing method, and a program capable of easily obtaining a captured image with an appropriate angle of view with a small number of imaging apparatuses. The information processing apparatus includes: a view angle candidate setting unit configured to set a plurality of candidates for an angle of view from a captured image range that can be captured by a first imaging apparatus with respect to a predetermined imaging space; and an imaging view angle setting unit configured to set an imaging angle of view of the first imaging apparatus on a basis of the plurality of candidates for the angle of view. The present technology can be applied to, for example, a system that captures a television broadcast program, or the like.

Abstract: A system and method for optimizing imaging system parameters includes determining, by a processor, a first set and second set of imaging parameters. An imaging device captures one or more first images according to the first set of imaging parameters while the processor is determining the second set of imaging parameters. The method further includes determining a first score from data associated with the one or more first images, capturing one or more second images according to the second set of imaging parameters, and determining a second score from data associated with the one or more second images. The processor then determines, from the first and second scores, an optimized set of imaging parameters from the first set of imaging parameters and the second set of imaging parameters.

Abstract: Provided is an imaging apparatus in which a column signal processing system includes a successive approximation register analog-to-digital converter capable of operating at higher speed and with lower power consumption. An electronic device of the present disclosure includes an imaging apparatus including a pixel array unit on which pixels including a photoelectric conversion element are arranged, a column amplifier unit that obtains a difference between a reset component and a signal component input from each of the pixels of the pixel array unit through a signal line and outputs the difference as a pixel signal, a capacitance unit that holds the pixel signal input from the column amplifier unit, and a successive approximation register analog-to-digital conversion unit that converts an analog signal input from the capacitance unit into a digital signal.

Abstract: In some examples, a sensor apparatus comprises: an array of pixel cells each including one or more photodiodes configured to generate a charge in response to light, and a charge storage device to convert the charge to output a voltage of an array of voltages, one or more an analog-to-digital converter (ADC) configured the convert the array of voltages to first pixel data, and an on-sensor controller configured to input the first pixel data into a machine-learning model to generate output data comprising prediction data associated with one or more features of the first pixel data, generate, based on the prediction data, second pixel data, the second pixel data associated with one or more transformed features of the first pixel data, and send, from the sensor apparatus to a separate receiving apparatus, the second pixel data.

Abstract: This application describes method and apparatus for HDR+ using M×N-cell sensors. An example apparatus includes a plurality of pixel groups, each pixel group having M×N pixels configured with color filters of a same color such that the M×N pixels in each pixel group capture a same color. M and N are integers greater than one, and each pixel is represented by a first number of bits. The example apparatus further include one or more processors configured to: capture, through the plurality of pixel groups, a plurality of frames of a scene using a short-exposure setting; merge the plurality of frames into an HDR image; and perform tone mapping on the HDR image to reduce a dynamic range of the super-pixels of the HDR image into a low dynamic range (LDR) image, wherein each pixel in the LDR image is represented with the first number of bits.

Abstract: Multi-cameras and in particular dual-cameras comprising a Wide camera comprising a Wide lens and a Wide image sensor, the Wide lens having a Wide effective focal length EFLW and a folded Tele camera comprising a Tele lens with a first optical axis, a Tele image sensor and an OPFE, wherein the Tele lens includes, from an object side to an image side, a first lens element group G1, a second lens element group G2 and a third lens element group G3, wherein at least two of the lens element groups are movable relative to the image sensor along the first optical axis to bring the Tele lens to two zoom states, wherein an effective focal length (EFL) of the Tele lens is changed from EFLT,min in one zoom state to EFLT,max in the other zoom state, wherein EFLTmin>1.5×EFLW and wherein EFLTmax>1.5×EFLTmin.

Abstract: A camera apparatus and an electronic device including the same are disclosed. The camera apparatus according to the present disclosure includes: a light source; a lens module configured to output light from the light source to the outside; an actuator configured to move the light source or the lens module; and an image sensor configured to convert external light into an electrical signal. Accordingly, it is possible to implement a high-quality 3D volume by dynamically moving output light.

Abstract: An image processing circuit for multi-illumination white balance with thumbnail processing. The image processing circuit determines a set of initial weights for a source pixel in a thumbnail image by determining component values for multiple color channels of the source pixel. The image processing circuit determines a set of weights for the source pixel in a weight map for the thumbnail image. Each weight in the set of weights is determined based on corresponding initial weights from the set of initial weights. Each weight in the set of weights represents an intensity level of a respective chrominance class of multiple chrominance classes for the source pixel. The image processing circuit applies the set of weights to values of the color channels of the source pixel to generate color component values of the color channels of a target pixel in a target thumbnail image.

Abstract: An automatic tracking method used in conjunction with a PTZ camera device, wherein an image capturing range of the PTZ camera device is set with a first preset range and a second preset range. The method includes the following steps. Step 1 performs a real-time tracking mode when a target object is within the first preset range, wherein the camera position of a first lens of the PTZ camera device is adjusted with the movement of the target object. Step 2 records an object distance value and perform a region tracking mode when the target object is within the second preset range, which fixes the camera position of the first lens of the PTZ camera device and tracks the target within the second preset range object. Step 3 switches from the region tracking mode to the real-time tracking mode when the object distance of the target object changes.