Abstract: A system and method limit the scope of video analytics performed by a processor with limited processing power, such as an edge processor in communication with multiple imaging devices disposed within a monitored area. According to one embodiment, the processor accesses image data from each image capture device and performs non-operational video analytics to detect objects within the respective image data. The processor compares the detected objects in the respective image data over one or more time lapse periods. Based on results of the comparisons, the processor determines parameters for configuration files for the image capture devices, where each configuration file includes parameters for adjusting the respective image capture device to capture images of one or more particular areas of interest within the monitored area and/or disabling a transfer of image data from the respective image capture device. The processor communicates each configuration file to its respective image capture device.

Abstract: Implementations relate to automatic sharing of images with designated users over a communication network. In some implementations, a method includes causing display of images in a user interface on a first device, each of the images depicting a different person. The images are obtained from a library of images associated with a first user. A selection of a particular image of the images is received based on user input, and a person identifier is determined indicating a particular person depicted in the selected image. The person identifier is designated as a person sharing criterion. A first image not included in the images is obtained and programmatically analyzed to determine that the first image depicts a person that matches the person sharing criterion, and an access permission is updated to grant access to the first image to a second user of a second device over a communication network.

Abstract: A resonant testing system for testing a device under test, including a processing circuit, a microphone array and a camera is disclosed. The processing circuit generates a scanning frequency signal and transmits the scanning frequency signal to the device under test, which plays sound based on the scanning frequency signal. The microphone array includes several microphones, each of the microphones receives the sound played by the device under test, and the microphone array outputs several audio signals corresponding to the microphones. The camera captures a real time image signal of the device under test, and transmits the real time image signal to the processing circuit. The processing circuit computes resonant positions and resonant levels according to the audio signals, and combines the resonant positions, the resonant levels and the real time image signal to generate a real time resonant result. A resonance testing method is disclosed.

Abstract: A mobile computing device receives an image from a camera physically located within a vehicle. The mobile computing device inputs the image into a convolutional model that generates a set of object detections and a set of segmented environment blocks in the image. The convolutional model includes subsets of encoding and decoding layers, as well as parameters associated with the layers. The convolutional model relates the image and parameters to the sets of object detections and segmented environment blocks. A server that stores object detections and segmented environment blocks is updated with the sets of object detections and segmented environment blocks detected in the image.

Abstract: The present application discloses a method, an apparatus, a system, and a storage medium for calibrating an exterior parameter of an on-board camera, relating to the field of autonomous driving technologies. A specific implementation scheme of the method in the application is: preprocessing two frames of images of a former frame and a latter frame collected by the on-board camera; performing feature point matching on the two preprocessed frames of images to obtain matched feature points; determining a moving posture of the on-board camera according to the matched feature points; determining a conversion relationship between a vehicle coordinate system and an on-board camera coordinate system according to the moving posture, and obtaining the external parameter of the on-board camera relative to a vehicle body.

Abstract: Methods and apparatus, including computer program products, for detecting malfunction in a thermal camera. A first average response value is determined for a first shutter image captured by an image sensor in the thermal camera. A second average response value is determined of a second shutter image captured by the image sensor in the thermal camera. The first average response value and the second average response value are compared. In response to determining that the first average response value and the second average response value differ by more than a predetermined value, an indication of a malfunction of the thermal camera is provided.

Abstract: An electronic device according to various embodiments of the present invention comprises a camera, a communication module, a display and a processor, wherein the processor can be set so as to: acquire a raw image corresponding to an external object by using the camera; generate a first level image having a first attribute and a second level image having a second attribute by using the raw image; transmit a first image, in which at least a part of the first level image is encoded, to an external electronic device by using the communication module such that the external electronic device generates analysis information on the first image; and generate a second image, in which at least a part of the second level image is encoded, on the basis of at least the analysis information, and transmit the second image to the external electronic device by using the communication module. Other embodiments could be possible in addition to the various embodiments of the present invention.

Abstract: A deposit detection device according to an embodiment includes a detection module and a determination module. The detection module detects a deposit region including a deposit adhering to a lens of an imaging device from a captured image captured by the imaging device. The determination module performs maintenance determination as to whether to maintain a detection history of detection by the detection module, based on brightness information of the captured image.

Abstract: Apparatus and methods for correcting distortion of a spectrally encoded endoscopy (“SEE”), more specifically, the subject disclosure provides a calibration tool calibrating a rotating spectrally encoded endoscope, which may be reused to recalibrate the endoscope throughout the lifecycle, and which may further act to protect the endoscope during packaging, shipping and handling.

Abstract: A computer-implemented method includes receiving a video comprising image frames depicting multiple objects. The video is captured by a video capture device moving relative to the surface of the Earth while the video is captured. A geographic location of the video capture device is received for each of the image frames and an angular orientation of the video capture device is determined based on the image frames. The determining the angular orientation includes determining a line in the image frames of the video for each object of a plurality of the multiple objects. The determined line corresponds to two-dimensional positions of the object in the image frames. The computer-implemented method includes determining a vanishing point of the image frames based on the determined lines and determining the angular orientation of the video capture device based on the determined vanishing point.

Abstract: A system comprised of a controller; an endoscope comprised of a shaft, an image sensor, and a connector; and a target for viewing by the image sensor of the endoscope. The target includes one or more calibration objects. The controller is configured to receive image data indicative of the calibration objects from the image sensor, compare the image data with one or more predetermined thresholds, and calibrate one or more image sensor settings when the image data fails to meet the one or more predetermined thresholds.

Abstract: The present invention is provided with a sensor-side metadata acquiring unit that acquires sensor-side test metadata, an application-side metadata acquiring unit that acquires application-side test metadata, a matching unit that determines matching of acquired sensor-side test metadata and acquired application-side test metadata, and a dataflow control command instructing unit that transmits a dataflow control command instructing test data flow to an opening test application from a sensor or network adaptor specified by matched sensor-side test metadata and the application-side test metadata.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image. In particular, in one or more embodiments, the disclosed systems can train and utilize a critical edge detection neural network to generate a vanishing edge map indicating vanishing lines from the digital image. The system can then utilize the vanishing edge map to more accurately and efficiently determine camera parameters by applying a geometric model to the vanishing edge map. Further, the system can generate ground truth vanishing line data from a set of training digital images for training the critical edge detection neural network.

Abstract: The present disclosure relates to an imaging apparatus and an imaging method, a camera module, and an electronic apparatus that are capable of detecting a failure in an imaging device having a structure in which a plurality of substrates are stacked. The timing at which a row drive unit provided in a second substrate outputs a control signal for controlling accumulation and reading of pixel signals in a pixel array provided in a first substrate is compared with the timing at which the control signal output from the row drive unit is detected after passing through the pixel array. Depending on whether or not the timings coincides with each other, a failure is detected. The present disclosure can be applied to an imaging apparatus mounted on a vehicle.

Abstract: A visual positioning method includes: detecting a lane line of a surface based on a video stream of the road surface collected by a camera mounted on a vehicle; determining first reference point information at a current angle of view according to a detection result of the lane line; determining a third homography matrix according to the first and second reference point information at a previous angle of view of the camera, the position of a second reference point corresponds to that of a first reference point, and the third homography matrix is used for representing a mapping relationship between a coordinate of the camera at the current angle of view and a coordinate of the camera at the previous angle of view; determining a first homography matrix according to the third homography matrix and a predetermined homography matrix; and performing positioning according to the first homography matrix.

Abstract: Embodiments herein provide an augmented reality (AR) system that uses sound localization to identify sounds that may be of interest to a user and generates an audio description of the source of the sound as well as AR content that can be magnified and displayed to the user. In one embodiment, an AR device captures images that have the source of the sound within their field of view. Using machine learning (ML) techniques, the AR device can identify the object creating the sound (i.e., the sound source). A description of the sound source and its actions can outputted to the user. In parallel, the AR device can also generate AR content for the sound source. For example, the AR device can magnify the sound source to a size that is viewable to the user and create AR content that is then superimposed onto a display.

Abstract: A method of calibration of a dual camera system, including, providing a chart of a plurality of circular rings and at least one disk, imaging the chart with a first camera to provide a first chart image and a second camera to provide a second chart image, performing edge detection of the first and second chart image on the plurality of circular rings and the at least one disk, determining the relative position of the plurality of circular rings to the at least one disk, matching the relative positions of the plurality of circular rings of the first chart image and the second chart image and aligning the first camera and the second camera based on the matching of the first chart image to the second chart image.

Abstract: Calibration in the field is described for stereo and other depth camera configurations using a projector One example includes imaging the first and the second feature in a first camera of the camera system wherein the distance from the first camera to the projector is known, imaging the first and the second feature in a second camera of the camera system, wherein the distance from the second camera to the projector is known, determining a first disparity between the first camera and the second camera to the first feature, determining a second disparity between the first camera and the second camera to the second feature, and determining an epipolar alignment error of the first camera using the first and the second disparities.

Abstract: Embodiments of this application disclose a method for photographing VR content by a computing device. The method includes: obtaining first position and first rotation of a VR display device; obtaining a photographing parameter including a distance between a virtual camera and a target object displayed in the display device; calculating second position of the camera according to the first position and the photographing parameter, and second rotation of the camera according to the first rotation; calculating a real-time direction of the camera according to the second position and the second rotation; and recording, according to the real-time direction of the camera, image information including the target object photographed by the camera. The embodiments of this application further provide a computing device for providing a universal photographing manner in VR applications, and the photographing manner is not limited to photographing functions of the VR applications.

Abstract: A solid-state imaging device includes a first A/D converter circuit and a second A/D converter circuit per column. The first A/D converter circuit performs a first A/D conversion that (i) refines, using a first comparator, a range including a potential of an analog signal through a binary search, and (ii) generates, based on a result of the binary search, a first digital signal being a high-order portion of the digital signal. The second A/D converter circuit performs a second A/D conversion that generates a second digital signal being a low-order portion that is a remainder of the digital signal by measuring a time required for an output of the second comparator to be inverted, the second comparator comparing a quantitative relationship between the analog signal refined and a ramp signal.

Abstract: In one example embodiment, a camera system includes a plurality of cameras, a camera controller configured to control the plurality of cameras, a control signal line configured to facilitate an exchange of at least one control signal between the camera controller and the plurality of cameras and a synchronization signal line commonly connected to the plurality of cameras, and configured to transmit at least one transmission synchronization signal for synchronizing at least two cameras among the plurality of cameras.

Abstract: A system, method, and processor-readable medium for assessing the reliability of vehicle systems used in an autonomous vehicle. The assessment may be performed at least in part on the basis of data collected by one or more of the vehicle's sensors. The result of the assessment may be used as the basis for decisions about vehicle operation carried out by an autonomous driving module.

Abstract: An optical sensing chip packaging structure includes a substrate, an optical sensing member, a light emitting member and a transparent cover plate. The substrate has a recess; the optical sensing member is positioned in the recess, and is electrically connected to the substrate. The light emitting member is positioned in the recess, and is electrically connected to the substrate or the optical sensing member. The transparent cover plate is positioned on the substrate, and covers the optical sensing member and the light emitting member.

Abstract: Media user interfaces are described, including user interfaces for capturing media (e.g., capturing a photo, recording a video), displaying media (e.g., displaying a photo, playing a video), editing media (e.g., modifying a photo, modifying a video), accessing media controls or settings (e.g., accessing controls or settings to capture photos or videos to capture videos), and automatically adjusting media (e.g., automatically modifying a photo, automatically modifying a video).

Abstract: Methods for providing in-browser perspective manipulation are provided. In one aspect, a method includes executing, in a web browser, an image editing application retrieved from a remote server. The method also includes providing for display, in a user interface of the image editing application, a background and an image. The method also includes modifying anchors of the image in response to user input. The method also includes determining an indicator for supporting hardware graphics acceleration in the web browser. When the indicator is true, the method includes calling a 3D perspective transformation function on the image based on the modified anchors. When the indicator is false, the method includes a 2D approximation that divides the image into smaller units for affine transformations, which are then recombined into the transformed image. The method also includes compositing an output image comprising the transformed image in front of the background.

Abstract: An image processing apparatus according to an embodiment includes an arranger, an image processor, an evaluation value calculator, and an abnormality detector. The arranger arranges a test data sequence in a blanking period of video data including an image data region in which image data is arranged and the blanking period in which the image data is not arranged. The image processor applies image processing to the test data sequence arranged in the video data and the image data. The evaluation value calculator calculates an evaluation value based on an image processing result of the test data sequence in the video data. The abnormality detector outputs a signal indicating an abnormality when the evaluation value does not fluctuate according to the predetermined order.

Abstract: A method and system for visualizing micro-contrast. At least one processor obtains a selected root image from a digital video, generates an assistive image, and blends the assistive image with the selected root image to obtain a mutated image, which configured to be displayed by a display device. The selected root image includes root pixels each associated with color values. The assistive image is generated based on a plurality of micro-contrast scores comprising a micro-contrast score calculated for each of at least a portion of the root pixels. The micro-contrast score is calculated for a selected one of the root pixels by identifying a submatrix centered at the selected root pixel, and calculating the micro-contrast score for the selected root pixel based on the color values associated with only sample pixels positioned one each at corners of the submatrix.

Abstract: Systems, methods, and non-transitory computer-readable media can identify an object depicted in an image. True color information associated with the object is obtained from a true color database comprising true color information for a plurality of objects. A color delta associated with the object is determined based on the true color information and captured color information associated with the object. The image is modified based on the color delta.

Abstract: An onboard periphery image display device for adjusting transformation rule of each camera mounted on an automobile is provided. A predetermined calibration pattern of a calibration member is placed in a capture area of a reference camera and another calibration pattern of the calibration member is placed in a capture area of an adjustment-targeted camera. The onboard periphery image display detects a coordinate of an image of a reference calibration pattern based on the image of the predetermined calibration pattern captured by the reference camera, detects an coordinate of an image of an adjustment calibration pattern based on the image of the another calibration pattern captured by the adjustment-targeted camera, and adjusts the transformation rule determined for the adjustment-targeted camera based on the detected coordinates.

Abstract: A digital image is captured. The captured digital image includes a calibration pattern. The calibration pattern includes displayed information about the calibration pattern. The displayed information is read to obtain calibration information about the captured digital image.

Abstract: A system for determining a loss of calibration in a multi-view stereo imaging system including executing instructions, via a processor, for a multi-view stereo imaging system to process a plural image frame recorded from a plurality of digital cameras of an information handling system and based on plural image calibration parameters and detecting a physical impact event, via a physical sensor, to an information handling system. The system and method execute instructions for a physical impact event detection system to determine, based on physical sensor feedback data, whether a threshold level of a physical impact event has been reached so as to affect calibration of the multi-view stereo imaging system. The detected physical impact event may be a mechanical impact event, a thermal impact event, a vibration mechanical impact event, or another physical impact event.

Abstract: In semiconductor devices according to related art, it is impossible to sufficiently evaluate column ADC interference. According to one embodiment, a semiconductor device includes a plurality of analog/digital conversion circuits that are arranged in a column direction of a pixel array and convert a pixel output signal output from the pixel array for each row into a digital value, and a conversion signal selection circuit that selects one of the pixel output signal and a test signal having a test voltage for each analog/digital conversion circuit according to a test pattern and outputs the selected signal.

Abstract: A printing device includes: a set unit on which a print medium can be set; a projection unit (projector) capable of projecting a first image onto the print medium set on the set unit; a printing unit capable of printing a second image on the print medium set on the set unit; and a control unit configured to modify a printing specification of the second image to be formed on the print medium based on modification information regarding a modification made to a projection specification of the first image projected onto the print medium by the projection unit.

Abstract: A system and a method for image alignment between at least two images to a three-dimensional model. The method including: determining a lower bound and an upper bound of an acceptable likelihood of mismatch between the at least two images; evaluating the likelihood of mismatch between the at least two images over a set of poses (r), shifts (t), or both poses (r) and shifts (t); and discarding those evaluations resulting beyond the lower bound and upper bound.

Abstract: A calibration plate and a method for calibrating image capturing devices are provided. The calibration plate includes: a plate having a front face and a rear face; a plurality of calibration patterns formed at the front face of the plate, arranged in a regular manner, and used to calibrate image distortions, lens aberrations, and image center positions for the image capturing devices; and a plurality of graphically encoded patterns formed at the front face of the plate, the graphically encoded patterns being different from each other, and the graphically encoded patterns having information providing the positions of the calibration patterns.

Abstract: A super-resolution method for generating a high-resolution (HR) image from a low-resolution (LR) blurred image is provided. The method is based on a transform-invariant directional total variation (TI-DTV) approach with Schattenp=1/2 (S1/2-norm) and L1/2-norm penalties. The S1/2-norm and the L1/2-norm are used to induce a lower-rank component and a sparse component of the LR blurred image so as to determine an affine transform to be adopted in the TI-DTV approach. In particular, the affine transform is determined such that a weighted sum of the S1/2-norm and the L1/2-norm is substantially minimized. Based on the alternating direction method of multipliers (ADMM), an iterative algorithm is developed to determine the affine transform. The determined affine transform is used to transform a candidate HR image to a transformed image used in computing a directional total variation (DTV), which is involved in determining the HR image.

Abstract: A color calibration apparatus includes an image obtaining unit configured to obtain first and second photographed images which are generated by photographing first and second mono-color test images displayed on the display device; a controller configured to detect an ambient light area on which an ambient light is shining within the first photographed image based on pixel values of the first photographed image, and further configured to determine a remaining area of the first photographed image other than the ambient light area as a representative value calculating area; and an image processor configured to calculate a representative value based on pixel values of an area corresponding to the representative value calculating area within the second photographed image, and further configured to perform color calibration of the display device based on the representative value.

Abstract: To make it possible to adjust a relative positional relationship between an imaging lens and an image pickup device highly precisely within a short period of time, a position adjusting device includes: an image pickup device rotating and holding section (101) for holding an image pickup device (202) at any one of three or more rotational angles; a relationship information obtaining section (103) for obtaining, for each of respective images captured at the rotational angles, information on a relationship between the corresponding rotational angle and a contrast of the image at a plurality of points or regions in the image; a line approximation section (104) for approximating the relationship with use of an approximation line; and an image pickup device adjusting section (105) for rotating the image pickup device (202) so that the image pickup device (202) is held at a rotational angle corresponding to a position at which a plurality of the approximation lines cross each other.

Abstract: Method comprising the steps of: choosing a set of calibration colors within said scene, measuring each calibration color of said set such as to get a set of XYZ to represent each calibration color in the given colorimetric color space, by using said image capture device, capturing calibration colors such as to get a set of Raw RGB values to represent each calibration color, estimating a parametric color transform such that any set of Raw RGB values corresponding to a calibration color is transformed into a set of XYZ values corresponding to the same calibration color, building a color calibration transform by the concatenation of the parametric color transform with an output color transform.

Abstract: A surveillance camera is positioned and positionable at a stationary surveillance position for monitoring. The surveillance camera has a calibration tool that is constructed or configured for ascertaining the stationary surveillance position of the surveillance camera.

Abstract: A method of registering a camera of a surgical navigation system for an augmented reality which realizes an augmented reality with lowered error range is disclosed. The method of registering the camera of the surgical navigation system for the augmented reality enables single person to do the work by calculating and adjusting the coordinate of the optical center of the camera by moving the optical tracker, the camera, or the pattern board with a second marker attached on the pattern board, not manually attached on the pattern board. And, there is an effect of improving accuracy and safety of a surgery by realizing an augmented reality without generating an accumulated error by the second marker, since the spatial coordinate of the second marker attached on the pattern board maintains uniform.

Abstract: Various examples related to calibration of a scanning device are disclosed. In one example, among others, a calibration cradle includes a calibration pattern positioned within the calibration cradle and recesses to support a scanning device in a fixed position relative to the calibration pattern. In another example, a method includes positioning a scanning device in a calibration cradle, obtaining an image of a calibration pattern with a tracking sensor of the scanning device, determining an estimated pose of the scanning device, and determining an error associated with the calibration pattern using the estimated pose. In another example, a method includes capturing an image of a cone mirror a probe of a scanning device, determining a centroid of the cone mirror image, and determining an error associated with the cone mirror using the centroid.

Abstract: A method, system and reference target for estimating spectral data on a selected one of three spectral information types is disclosed. Spectral information types comprise illumination of a scene, spectral sensitivity of an imager imaging the scene and reflectance of a surface in the scene. The method comprises obtaining a ranking order for plural sensor responses produced by the imager, each sensor responses being produced from a reference target in the scene, obtaining, from an alternate source, data on the other two spectral information types, determining a set of constraints, the set including, for each sequential pair combination of sensor responses when taken in said ranking order, a constraint determined in dependence on the ranking and on the other two spectral information types for the respective sensor responses and, in dependence on the ranking order and on the set of constraints, determining said spectral data that optimally satisfies said constraints.

Abstract: An imaging apparatus includes an imaging unit that is provided with an image pickup device and a fixed pattern outputting section that outputs a fixed pattern set in advance and includes a control unit and a path. The control unit is electrically connected to the imaging unit and receives an image acquired by the image pickup device and a fixed pattern outputted from the fixed pattern outputting means. The path electrically connects the imaging unit and the control unit, and electrically transmits an image and a fixed pattern from the imaging unit to the control unit. The control unit controls, depending on the image, an application which requires the image as one of inputs to the application. Further, the control unit compares a specific pattern prepared in advance according to the fixed pattern, with the fixed pattern, to determine the occurrence of an anomaly in the electrical connection of the path.

Abstract: It is disclosed that, as an embodiment, a test circuit includes a test signal supply unit configured to supply a test signal via a signal line to signal receiving units provided in a plurality of columns, wherein the test signal supply unit is a voltage buffer or a current buffer, and the test circuit has a plurality of test signal supply units and a plurality of signal lines, and wherein at least one test signal supply unit is electrically connected to one signal line different from a signal line to which another test signal supply unit is electrically connected.

Abstract: Methods and systems for analyzing camera lenses and presenting information regarding camera lenses performance are described. An interactive user interface is provided over a network for display on a user terminal by a computer system. A user request is received at the computer system from the user terminal for lens data from a first lens. Lens data, including test data obtained via a first digital image captured using the first lens at the first focal length setting and the first aperture setting is accessed from memory and transmitted to interactive user interface. The interactive user interface is configured to display an identification of the first camera body, an identification of the first lens, the first focal length setting used to capture the image, and the first aperture setting used to capture the image. Using the lens test data, the interactive user interface generates and displays sharpness graph data.

Abstract: A computer-implemented method for color correcting images captured using a mobile computing device is described. A wavelength of light is emitted from a display of a mobile computing device. An image of the emitted wavelength of light is captured using a camera on the mobile computing device. The image of the wavelength of light emitted from the display of the mobile computing device that is captured using the camera on the mobile computing device is analyzed. At least one image captured using the camera on the mobile computing device is modified based on the analysis of the image of the wavelength of light emitted from the display of the mobile computing device.

Abstract: An imaging system may include an array of image pixels and verification circuitry. The verification circuitry may inject a test voltage into the pixel signal chain of a test pixel. The test voltage may be output on a column line associated with the column of pixels in which the test pixel is located. The test signal may be provided to a column ADC circuit for conversion from an analog test signal to a digital test signal. Verification circuitry may compare the digital output test signal with a predetermined reference signal to determine whether the imaging system is functioning properly (e.g., to determine whether column ADC circuits or other circuit elements in the pixel signal chain are functioning properly). If the output test signals do not match the expected output signals, the imaging system may be disabled and/or a warning signal may be presented to a user of the system.

Abstract: An example system for testing camera modules may include: a polygonal structure that is rotatable, where the polygonal structure includes faces, each of which is configured to receive at least one camera module under test; and targets facing at least some of the faces of the polygonal structure, where each target is usable in testing a corresponding camera module facing the each target.

Abstract: Various corporate, industry, and regulatory guidelines, best practices and standards are used in establishing acceptable levels of accuracy for volume dimensioning systems used in commerce. A volume dimensioning system can determine at least one distortion value that is indicative of an amount of distortion present in the system and responsive to the amount of distortion, autonomously after or adjust the units of accuracy of information reported by the system. Such alteration or adjustment of units of accuracy may be performed based on an assessment of the distortion relative to a number of distortion thresholds. Responsive to the assessment, the volume dimensioning system can adjust a unit of accuracy in a representation of volume dimensioning related information.