Abstract: A method includes receiving a first image captured by a content capture device included in a mixed reality or augmented reality device, identifying a location corresponding to a pixel group of a plurality of pixel groups in the first image, and determining, for each location, one or more updates for one or more settings of the content capture device. The method also includes iteratively: updating the content capture device using an update of the one or more updates, capturing an image of a predetermined number of images using the content capture device and the update of the one or more updates, and repeating updating the content capture device and capturing the image the predetermined number of times. The method also includes stitching the predetermined number of images together to form a composite image.

Abstract: An imaging apparatus according to the present technology includes an imaging element including a light shielding pixel and a photodiode division pixel, and a defocus amount calculation unit that calculates a defocus amount using at least one of an output signal of the light shielding pixel and an output signal of the photodiode division pixel on the basis of an exposure amount.

Abstract: An electronic apparatus includes at least one processor configured to perform the operations of the following units: a display unit configured to display a captured image, an acquisition unit configured to acquire line-of-sight information including a line-of-sight position of an observer that observes the display unit, a display control unit configured to control display based on the line-of-sight information, and a selection unit configured to select an object based on the line-of-sight information. The display unit highlights a limited area as a part of the captured image based on the line-of-sight information. The selection unit selects an object based on the observer's line-of-sight information about the display.

Abstract: Embodiments of the present invention are an image exposure method and device for an unmanned aerial vehicle, and an unmanned aerial vehicle. The method comprises: firstly, acquiring the original image information about a target object, then obtaining the weighted image information according to the original image information, further obtaining the compensation amount of an automatic exposure according to the weighted image information, and finally adjusting an automatic exposure strategy according to the compensation amount of the automatic exposure. The method prevents an unmanned aerial vehicle from easily losing a target during the process of the unmanned aerial vehicle automatically following a moving object, even when encountering a change in light and shadow.

Abstract: System, methods, devices, and instructions are described for fast boot of a processor as part of camera operation. In some embodiments, in response to a camera input, a digital signal processor (DSP) of a device is booted using a first set of instructions. Capture of image sensor data is initiated using the first set of instructions at the DSP. The DSP then receives a second set of instructions and the DSP is programmed using the second set of instructions after at least a first frame of the image sensor data is stored in a memory of the device. The first frame of the image sensor data is processed using the DSP as programmed by the second set of instructions. In some embodiments, the first set of instructions includes only instructions for setting camera sensor values, and the second set of instructions includes instructions for processing raw sensor data into formatted image files.

Abstract: A method for computing a total weight array includes receiving an image frame captured by a content capture device and identifying a plurality of objects in the image frame. Each object of the plurality of objects corresponds to one of a plurality of pixel groups. The method also includes providing a plurality of neural networks and calculating, for each object of the plurality of objects, an object weight using a corresponding neural network of the plurality of neural networks. The method further includes computing the total weight array by summing the object weight for each of the plurality of objects.

Abstract: An image pickup device, provided with a camera unit that is provided with a lens barrel, an autofocus unit disposed on the outside of the lens barrel, a lens barrel holding member that holds the lens barrel, and a camera case that engages the lens barrel holding member and covers the autofocus unit, the camera unit provided with a base member that supports the camera unit rotatably around a rotation axis, and a regulating member that restricts the rotation of the camera unit to a first rotation range. In the image pickup device, the camera case engages with the lens barrel holding member when the camera unit is in the first rotation range, the regulating member being detachable, and the camera case being detachable from the lens barrel holding member when the camera unit is in the second rotation range.

Abstract: An embodiment method of measuring ambient light comprises generating, by an ambient light sensor associated with a screen which alternates between first phases in which light is emitted and second phases in which no light is emitted by the screen, a first signal representative of an intensity of light received by the ambient light sensor during the first and second phases; comparing the first signal with a threshold intensity value; and controlling a timing of an ambient light measurement by the light sensor based on the comparison.

Abstract: A processing pipeline and method for mixed reality systems that utilizes selective auto-exposure for a region of interest in a scene based on gaze and that compensates exposure for the rest of the scene based on ambient lighting information for the scene. Images may be generated for display that provide an exposure-compensated, foveated high dynamic range (HDR) experience for the user.

Abstract: Described is a technique for optimization an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection.

Abstract: An image capturing apparatus includes a memory device that stores a set of instructions, and at least one processor that executes the set of instructions to function as, a first detection unit configured to detect a position of a gazing point in an image based on a line-of-sight of a user, a first setting unit configured to set an object detection range based on the position of the gazing point and an image capturing condition, a second detection unit configured to detect a feature area from the image, and a second setting unit configured to set a focus detection area based on a position of the feature area included in the object detection range.

Abstract: An electronic device includes a camera, a sensor for detecting a distance value relative to an object, a memory for storing calibration data for correcting a lens location of the camera based on the distance value detected by the sensor, and a processor. The memory stores instructions that, when executed, cause the processor to determine the lens location of the camera based on the distance value when the camera is operated, obtain lens location data for the distance value and the determined lens location, update the calibration data based on the lens location data, and determine the lens location of the camera based on the updated calibration data.

Abstract: Provided an apparatus for obtaining a motion vector including at least one processor configured to receive a long exposure image and a short exposure image of the current frame, and obtain a motion vector of the long exposure image and a motion vector of the short exposure image, the processor being configured to extract feature points in the long exposure image based on a saturation degree of the long exposure image, and obtain a motion vector of the long exposure image based on a difference from a long exposure image of a previous frame, and the processor being configured to extract feature points in the short exposure image and obtain a motion vector of the short exposure image based on a difference from a short exposure image of a previous frame based on a saturation degree of the short exposure image.

Abstract: Provided are methods, systems, and computer-program products for determining one or more settings of a content capture device. In some examples, to determine the one or more settings, luma values of pixels of an image from the content capture device may be identified. Objects in the image and information associated with the objects may also be identified. The information associated with the objects may be divided into categories of the information. And using the objects and the information, a separate weight array for each category of the information may be computed. The separate weight arrays may be combined to create a total weight array to augment the luma values. The augmented luma values may be aggregated to compute a weighted luma average for the image. Based upon a difference of the weighted luma average and a target, the one or more settings may be adjusted.

Abstract: Described is a technique for optimization an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection.

Abstract: An imaging device includes a drive unit that drives pixels each including a photoelectric converter to output a first signal based on charge generated by the photoelectric converter in a first exposure period and a second signal based on charge generated by the photoelectric converter in a second exposure period shorter than the first exposure period, a detection unit that detects a change in a relative position between an object and the imaging device by using the first and second signals, and an image generation unit that generates an image by using the first and second signals. When selecting the first or second signal for each pixel, in accordance with a result of determination whether the first signal is saturated, the image generation unit decides whether or not to use a detection result from the detection unit as a criterion in selecting the first or second signal.

Abstract: A display control method for a display control system includes: acquiring eye gaze information concerning eye gaze of a user; specifying, as a highlight target display element, among at least one display element to be displayed based on data indicating at least one item of information, a display element that has a predetermined positional relationship with the eye gaze of the user indicated by the eye gaze information and that satisfies a certain requirement as a highlight target candidate; and performing display control so that the specified highlight target display element is highlighted.

Abstract: An imaging system for generating a high dynamic range (HDR) image includes a pixel array that includes first pixels and second pixels, a driver circuit configured to control the first pixels based on a first exposure time and control the second pixels based on a second exposure time, an output circuit configured to output first pixel values of the first pixels and second pixel values of the second pixels from the pixel array, and a processing device configured to generate the HDR image based on a first Bayer image and a second Bayer image, where the first Bayer image is generated based on the first pixel values and the second Bayer image is generated based on the second pixel values and third pixel values of the first Bayer image. The quantity of pixels of the first pixels may be greater than the quantity of pixels of the second pixels.

Abstract: A method includes obtaining, using at least one image sensor of an electronic device, a first image frame of a scene. The method also includes using a convolutional neural network to generate, from the first image frame, multiple second image frames simulated to have different exposures. One or more objects in the scene in each second image frame are aligned with one or more corresponding objects in the scene in at least one other second image frame and are aligned with one or more corresponding objects in the scene in the first image frame. The method further includes blending the multiple second image frames to generate a final image of the scene.

Abstract: A method and apparatus for unlocking a terminal screen are provided. A specific embodiment of the method includes: determining a current screen state of the terminal being a state of awaiting unlocking; acquiring illumination information of an environment of the terminal in a predetermined period of time, the illumination information comprising an illumination intensity and a duration of the illumination intensity; judging whether the illumination information meets a predetermined condition; and switching the current screen state of the terminal to a successfully unlocked state in response to determining that the illumination information meets the predetermined condition. The embodiment achieves high-precision unlocking of a terminal screen without the need of manual operations on the terminal screen.

Abstract: Apparatuses, systems and methods are provided for vehicle operator gesture recognition and transmission of related gesture data. More particularly, apparatuses, systems and methods are provided for vehicle operator gesture recognition and transmission of related gesture data based on classification of image data.

Abstract: Described is a technique for optimization an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection.

Abstract: An image sensing device includes an image sensor that converts incident light into a first image by operating the image sensor under a first exposure time and a second image by operating the image sensor under a second exposure time which is different from the first exposure time; a calculation circuit to receive the first image and generate a third image corresponding to the second image based on the first image and a exposure ratio between the first and the second exposure times; a combination circuit to combine the second image and the third image to generate a combination image; a conversion circuit to convert or maintain each code value of the combination image to have the same bit depth based on the combination image and the exposure ratio; and a memory circuit coupled to the conversion circuit to store image values outputted from the conversion circuit.

Abstract: Provided are methods, systems, and computer-program products for determining one or more settings of a content capture device. In some examples, to determine the one or more settings, luma values of pixels of an image from the content capture device may be identified. Objects in the image and information associated with the objects may also be identified. The information associated with the objects may be divided into categories of the information. And using the objects and the information, a separate weight array for each category of the information may be computed. The separate weight arrays may be combined to create a total weight array to augment the luma values. The augmented luma values may be aggregated to compute a weighted luma average for the image. Based upon a difference of the weighted luma average and a target, the one or more settings may be adjusted.

Abstract: The present disclosure provides a detection method and a detection device for a digital camera. The detection method includes: Step 1 of moving the to-be-detected auto-focusing lens assembly to a position spaced apart from a subject by a first distance; Step 2 of performing automatic exposure control until an average luminance value of a central region of an image is in a stable state; Step 3 of locking an automatic exposure control parameter; Step 4 of taking a first image; Step 5 of determining sizes of four corner regions in the first image; Step 6 of counting average luminance values of the four corner regions; and Step 7 of, in the case that the average luminance values of the four corner regions are identical to each other, determining that the to-be-detected auto-focusing lens assembly is installed at an accurate position. According to the present disclosure, it is able to detect where or not the auto-focusing lens assembly is installed at the accurate position in an automatic and efficient manner.

Abstract: Apparatuses, systems and methods are provided for vehicle operator gesture recognition and transmission of related gesture data. More particularly, apparatuses, systems and methods are provided for vehicle operator gesture recognition and transmission of related gesture data based on classification of image data.

Abstract: With respect to images captured by cameras, content of which changes as time passes, an information processing apparatus determines an evaluation value with respect to content at each given time of the images according to a predetermined standard, and switches and displays an image on a display apparatus by selecting a camera image having a high evaluation value, while heightening an evaluation value of the camera image currently selected and displayed on the display apparatus for a predetermined period of time in order to prevent the image from being switched frequently.

Abstract: Provided is a recommendation apparatus including a determination unit configured to determine an application to be recommended to an imaging apparatus, based on information on an image selected in accordance with an operation mode of the imaging apparatus.

Abstract: A method for adjusting predetermined ISO-dependent image processing parameters for images captured by a digital camera includes measuring the exposure deviation in exposure units from an optimal exposure as determined by the camera during an image capture process, deriving an estimated camera sensitivity from the exposure deviation, and adjusting the ISO-dependent image processing parameters for images captured by the camera as a function of the derived estimated camera sensitivity.

Abstract: Described is a technique for optimization an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection.

Abstract: A technique for strobe shooting using automatic irradiation direction control. A strobe device includes a light emission section that emits light, and a drive unit that changes an irradiation direction of light emitted from the light emission section. Exposure conditions set to the camera are notified to the strobe device, and light emission conditions are set according to the exposure conditions. The irradiation direction of light emitted from the light emission section is determined based on the exposure conditions and the light emission conditions.

Abstract: A diaphragm device includes a diaphragm mechanism, a connector, an identification unit for identifying a control mode of a signal communicated via the multiple terminals on the basis of voltage of the signal, and a control unit, wherein the switching unit switches the communication path so that a pulse signal capable of driving the pulse signal driven actuator is generated for generating the pulse signal on the basis of the signal, and output to the pulse signal driven actuator if the control mode of the signal is identified as one based on a control mode incapable of directly driving the pulse signal driven actuator; and the switching unit switches the communication path so that the signal is output to the pulse signal driven actuator if the control mode of the signal is identified as a first control mode based on a pulse signal directly driving the pulse signal driven actuator.

Abstract: The present disclosure provides a method and an electronic device capable of performing a display adjustment.

Abstract: An imaging apparatus includes an imaging module configured to capture an image, and a controller. The controller obtains a luminance of a minimum luminance area or a maximum luminance area in an imaging target area of an image captured by the imaging module and controls an exposure amount in the imaging module on the basis of the luminance.

Abstract: The embodiments of the present invention provide a backlight compensation method, apparatus and terminal. The apparatus comprises: an acquisition module configured to acquire a preview image; a judgment module configured to judge whether backlight compensation needs to be performed on the preview image; a calculation module configured to calculate a compensation parameter of a compensation light source; a compensation module configured to perform backlight compensation on the preview image according to the compensation parameter; and a display module configured to display the preview image. The terminal comprises an image pick-up apparatus, a storage device and a backlight compensation apparatus. The backlight compensation apparatus is configured to calculate a compensation parameter according to a preview image acquired by the image pick-up apparatus, and perform backlight compensation on the preview image.

Abstract: An image pickup device includes a first image sensor for photoelectrically converting subject light and generating an image, a second image sensor for photoelectrically converting the subject light and generating an image for a live view, a first optical member for transmitting the subject light and allowing the subject light to enter the first image sensor, and at the same time, reflecting the subject light, and a second optical member for leading the subject light reflected by the first optical member to the second image sensor and allowing the subject light to enter the second image sensor.

Abstract: Provided are an autofocus (AF) adjusting method and apparatus. The AF adjusting method for an AF adjusting apparatus includes: generating a first image signal by photographing an area (or object) during a first exposure time; generating a second image signal by photographing the area during a second exposure time shorter than the first exposure time; generating a composite image signal by combining the first and second image signals; and calculating a focus detection evaluation value from the composite image signal.

Abstract: A backlight detection method and device, and the method includes acquiring a brightness value of each image block in a to-be-checked image, determining a brightness relationship between the adjacent image blocks according to the brightness value of each image block; and determining a dark region and a bright region in the to-be-checked image according to the brightness relationship between the adjacent image blocks, and determining whether the to-be-checked image is a backlight scenario according to the dark region and the bright region. The backlight detection method and device provided by the embodiments of the present invention can improve accuracy of backlight detection.

Abstract: An image capture apparatus comprises an image capturing unit that captures an object image and outputs image data; a photometric value acquisition unit that acquires, from the image data, a first photometric value and a second photometric value different from the first photometric value; and an exposure change unit that changes exposure such that the first photometric value comes close to a target value, wherein the exposure change unit calculates a third photometric value based on the first photometric value, the target value, and the second photometric value and corrects the exposure in accordance with a difference between the third photometric value and a reference value.

Abstract: A system and method to enhance dark areas of a scenes while preventing bright areas of the scenes from distorting or skewing exposure settings of video cameras. The video cameras capture images and identify bright areas in the captured images. The video cameras calculate exposure settings while excluding the bright areas in the captured images to enhance the dark areas in the captured images. Camera control parameters are then adjusted based on the calculated exposure settings.

Abstract: Described is a technique for optimizing an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection.

Abstract: An image capturing apparatus comprises a capturing unit which captures an image; a detection unit which detects an object from the captured image; a generating unit which generates a luminance distribution of the captured image; a calculating unit which calculates, based on the luminance distribution, an exposure amount used when performing autoexposure bracketing that captures a plurality of images at different exposures; a determining unit which determines whether or not to perform the autoexposure bracketing using the calculated exposure amount; and a correcting unit which corrects the calculated exposure amount based on feature information of the object detected by the detection unit.

Abstract: A determination unit determines a weighting coefficient for a second light metering area corresponding to a focus detection area at which a second defocus amount having an absolute value larger than an absolute value of a first defocus amount is acquired relatively smaller than a weighting coefficient for a first light metering area corresponding to a focus detection area at which a first defocus amount is acquired, and changes a difference between the weighting coefficient for the first light metering area and the weighting coefficient for the second light metering area based on a plurality of defocus amounts including the defocus amount of the focus detection area not corresponding to the first light metering area and the second light metering area.

Abstract: An image processing apparatus includes a photographing unit configured to generate a plurality of images by photographing a plurality of times a range which can be photographed, an object detection unit configured to detect a specified object from each of the plurality of images generated by the photographing unit, a position determination unit configured to determine an existing position of the specified object based on a detection result of the specified object in the plurality of images, and a range determination unit configured to determine a photographing range to be photographed within the range which can be photographed based on the existing position of the specified object determined by the position determination unit.

Abstract: A flicker band automated detection system and method are presented. In one embodiment an incidental motion mitigation exposure setting method includes receiving image input information; performing a motion mitigating flicker band automatic detection process; and implementing exposure settings based upon results of the motion mitigating flicker band automatic detection process. The auto flicker band detection process includes performing a motion mitigating process on an illumination intensity indication. Content impacts on an the motion mitigated illumination intensity indication are minimized. The motion mitigated illumination intensity indication is binarized. A correlation of the motion mitigated illumination intensity and a reference illumination intensity frequency is established.

Abstract: A flicker band automated detection system and method are presented. In one embodiment an incidental motion mitigation exposure setting method includes receiving image input information; performing a motion mitigating flicker band automatic detection process; and implementing exposure settings based upon results of the motion mitigating flicker band automatic detection process. The auto flicker band detection process includes performing a motion mitigating process on an illumination intensity indication. Content impacts on an the motion mitigated illumination intensity indication are minimized. The motion mitigated illumination intensity indication is binarized. A correlation of the motion mitigated illumination intensity and a reference illumination intensity frequency is established.

Abstract: An image capturing apparatus comprises: a photometry unit configured to perform photometry on a subject and output a photometric value; an obtaining unit configured to obtain a plurality of photometric values from the photometry unit during a predetermined period of time; and a calculation unit configured to perform a prediction calculation to predict a luminance of the subject based on the plurality of photometric values obtained by the obtaining unit.

Abstract: An image processor, which determines appropriate exposure parameters for a shutter assembly in a camera. The image processor may computationally determine a region of interest in a scene sought to be captured, and set the parameters to ensure that the exposure parameters are set to capture an image of the scene with the region of interest having a desired brightness level. In an embodiment, pixel values of multiple frames (each frame with a corresponding set of configuration parameters of the shutter assembly) may be examined to determine the frame having pixel values with the region having the desired brightness level. The shutter assembly may be configured with the parameters corresponding to such a frame to provide an auto-exposure feature.

Abstract: A method for adjusting weighting values in light metering is provided. An input image is divided into multiple metering zones. The input image includes a number of pixel data, and the metering zones correspond to a number of exposure weighting values. It is determined whether the color of each pixel datum of the input image is skin color. For each metering zone, an amount of the pixel data determined as the skin color is calculated. The corresponding exposure weighting values of the metering zones are adjusted according to the calculated results.

Abstract: An image sensing apparatus has focus state detection areas, photometry areas, a defocus amount obtaining unit that obtains a defocus amount of each focus state detection area, a photometry unit that obtains a photometric value of each photometry area, and a determination unit that determines a weighting coefficient for each photometry area. The photometry areas includes a first photometry area, corresponding to any of the focus state detection areas, for which the weighting coefficient is determined using a defocus amount of the corresponding focus state detection area, and a second photometry area for which the weighting coefficient is determined using the weighting coefficient for the first photometry area or the defocus amount of the focus state detection area corresponding to the first photometry area.