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: 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: 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: 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.

Abstract: The present embodiment relates to a lens driving device, comprising: a fixed portion; a mover which is disposed so as to be movable relative to the fixed portion and comprises a housing and a holder; and a driving unit for moving the mover, wherein the driving unit comprises a first driving unit for moving the holder and a second driving unit for moving the housing, and at least a part of the first driving unit and at least a part of the second driving unit are disposed on a first side of the fixed portion.

Abstract: An auto framing method is applied to a camera apparatus with an image receiver and a screen. The auto framing method includes receiving a detection image from the image receiver, computing a distance between the image receiver and an identification feature of the detection image, switching a framing mode of the screen into a normal mode or a single mode in accordance with a comparison result of the distance and a predefined distance threshold, setting a preset step count and a preset frame interval to compute a coordinate variation of the identification feature when position difference between a current focus area and a cropping area generated by the framing mode conforms to a predefined difference condition, and utilizing the coordinate variation to acquire an area variation of the cropping area, and scaling the cropping area to a target resolution for displaying on the screen in accordance with the area variation.

Abstract: A device includes a mechanical stabilization system is used in image signal processing. The mechanical image stabilization system has an operating bandwidth and includes a motor to control an orientation of an image sensor. A processing apparatus of the device determines a temperature of the motor and adjusts a cutoff frequency of the operating bandwidth based on the temperature of the motor.

Abstract: The present disclosure discloses a preview-image display while a terminal device photographs a picture. The method comprises: obtaining, by a terminal device, a first preview image and a second preview image, wherein the first preview image is based on a current picture in a first mode and the second preview image is based on the current picture in a second mode; and displaying, by the terminal device, a first part of the first preview image and a second part of the second preview image in a preview area, wherein the first part of the first preview image and the second part of the second preview image constitute a third preview image based on the current picture.

Abstract: There is provided a camera installation structure for inside of operation room that can obtain a camera image with reduced shake to enable remote operation and hardly obstructs rear visual field in a case where an operator boards a working machine. A camera installation structure 10 includes an operation seat 3, a scaffold member 20 disposed in a rear space 4, and mounting portions for mounting the scaffold member 20. The scaffold member 20 includes a plurality of shelves 21, 23, 25, and 27, a camera 50 installed on the fourth shelf 27, and mounting brackets. In a state where the mounting brackets are mounted on the mounting portions, a lens 51 of the camera 50 is disposed at a height position corresponding to a height of eyes of an operator in a case where the operator sits on the operation seat 3.

Abstract: A camera system comprising a body that contains a lens with a range of focus settings and an image sensor operable to record an image. The camera system has a controller operably connected to the sensor to receive the image, and the controller is operably connected to the lens to control the focus setting. The controller is operable to focus the lens on a selected point, and the controller is operable to determine at least two different first and second subject elements. The controller is operable to focus the lens on the first subject and record a first image, and the controller is operable to focus the lens on the second subject and record a second image.