Abstract: Method and apparatus for generating a three-dimensional (3D) model of a physical object. An apparatus includes stereo near-infrared camera devices, near-infrared projectors, color camera devices and control logic. The control logic detects a physical object moving along a fixed path has reached a predefined location, projects a predefined pattern onto the physical object, using the plurality of near-infrared projectors, and captures near-infrared digital images of the physical object, while the predefined pattern is being projected onto the physical object. The control logic determines a set of depth measures for each of the stereo near-infrared camera devices and generates a 3D mesh by merging the depth measurements. Color digital images are captured using the color camera devices, and a texture is applied to the 3D mesh by mapping points from each of the plurality of color digital images onto the 3D mesh.

Abstract: A method and system are provided to calibrate multiple camera devices to perform multi-camera tracking of one or more objects. The method and system identifies one or more common (or matching) calibration points on both of a first image or video stream captured by a first camera device and a second image or video stream captured by a second camera. Each of the one or more common calibration points are in a field of view of the first and second camera devices. The method and system further determines coordinate information for the first and second camera devices from the one or more common calibration points, and evaluates the coordinate information to determine alignment parameters, which reflect a location and orientation of the second camera device relative to the first camera device.

Abstract: The present invention discloses an image calibration method and apparatus applied to a three-dimensional camera. The method includes: photographing a to-be-tested object by using the three-dimensional camera, obtaining an image of the to-be-tested object in a photosensitive area of the three-dimensional camera, and determining a pixel point corresponding to the to-be-tested object in the photosensitive area according to the image of the to-be-tested object; obtaining, for the pixel point of the to-be-tested object, depth information corresponding to the pixel point, the depth information indicating a distance between the to-be-tested object and the pixel point; and obtaining a measurement deviation value corresponding to the pixel point from a measurement deviation set stored in advance, and correcting the depth information according to the measurement deviation value.

Abstract: Provided are a method and system for calibrating parameters of an imaging system comprising at least one imaging device and broad and structured light sources, the method comprising: the at least one imaging device sequentially capturing broad light source image data and structured light source image data of one or more scenes using the broad and structured light sources, respectively; generating a photogrammetric model of the broad light source image data and a photogrammetric model of the structured light source image data using respective coordinates of the broad and structured light source image data; determining corresponding features in the respective photogrammetric models; iteratively solving parameters of the imaging system to correct variations between corresponding features in the respective photogrammetric models, converge the models and obtain calibration parameters; and applying the calibration parameters to the imaging system to compensate for errors in the relative positions of the imaging dev

Abstract: A calibration system for a dimensioner is described. The calibration system uses a reference pattern with multiple optically-perceptible elements. The optically-perceptible elements have a parameter associated with size and are separated from each other by predefined distance. The dimensioner captures an image of an object and calculates physical dimensions of the object. The dimensioner captures an image of the reference pattern. The dimensioner measures the parameter associated with size for a pair of optically-perceptible elements and measures the distance between the pair of optically-perceptible elements from the captured image. The dimensioner then calculates a ratio between measured parameter for the pair of the optically-perceptible elements and of a predefined distance between the pair of the optically-perceptible elements. The calculated ratio is compared with a actual reference ratio to determine if calibration is needed. The dimensioner is calibrated based on the calculated ratio.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to implement operations of determining one or more optical parameters of a lens of eyeglasses. The operations may include processing at least one image of an object captured via the lens; and determining the one or more optical parameters of the lens based on the at least one image.

Abstract: A system is disclosed for the automated correction of optical and digital aberrations in a digital imaging system. The system includes (a) digital filters, (b) hardware modifications and (c) digital system corrections. The system solves numerous problems in still and video photography that are presented in the digital imaging environment.

Abstract: A learning method for providing a functional safety by warning a driver about a potential dangerous situation by using an explainable AI which verifies detection processes of a neural network for an autonomous driving is provided.

Abstract: [Object] To support a user such that the user can easily adjust installation states of a plurality of imaging devices. [Solution] Provided is an information processing device including an adjustment instruction specification unit configured to specify an instruction regarding adjustment by extracting or arranging elements of the adjustment in accordance with a level of priority of each of the elements for shifting current installation states of a plurality of imaging devices toward appropriate installation states of the plurality of imaging devices.

Abstract: An image sensing device is provided to provide a same effect as in performing testing associated with different integration or exposure times without changing an exposure or integration time. The image sensing device includes an active pixel region configured to include a plurality of active pixels, a dummy pixel region located at an outer wall of the active pixel region, configured to include a plurality of dummy pixels, and a light quantity control pattern configured to allow different quantities of light to be incident upon the respective dummy pixels.

Abstract: A non-transitory computer-readable medium stores a program. The program causes the computer to: acquire photographed image data which is generated by photographing, in an imaging apparatus, a photographed object indicating multiple reference points; acquire pieces of position information which indicate positions of the multiple reference points in the photographed image; map pieces of relative information to the respective reference points by analyzing relative positional relations between the multiple reference points in accordance with a first method; map the pieces of relative information to the respective reference points by analyzing relative positional relations between the multiple reference points in accordance with a second method; and determine a certain reference point as a reference point to be excluded, in a case that a first mapping relation is different from a second mapping relation.

Abstract: A method for capturing digital images during vehicle collisions includes: detecting, by a computer device, an impact with a vehicle; controlling, by the computer device and based on the detecting, at least one digital camera to capture images of an area around the vehicle; and transmitting, by the computer device, the images to a server that is remotely located relative to the vehicle.

Abstract: A distance measuring apparatus includes: an image pickup element in which a plurality of pixels receives light of an image are two-dimensionally arrayed; and an acquiring unit acquires information relating to a distance to an object based on an output signal of the image pickup element which each pixel line is constituted by pixels which receive beams passing through a same pupil region of the imaging optical system, and wherein the acquiring unit (1) acquires a first image displacement amount from output signals of at least two pixel lines which receive beams passing through a same pupil region, (2) acquires a second image displacement amount from output signals of at least two pixel lines which receive beams passing through different pupil regions, and (3) acquires the information relating to the distance to the object based on the first image displacement amount and the second image displacement amount.

Abstract: An extrinsic camera calibration system (ECCS) comprising a surround view system (SVS) interface connecting the ECCS to the SVS. The SVS comprises four cameras mounted to front, back, left, and right sides of a vehicle respectively that are front, back, left, and right cameras, as well as an imaging interface at which images from the four cameras are output. A calibration pattern that comprises a set of features is used by an extrinsic calibration processor. A network interface is connected to the four cameras via the imaging interface. The processor receives, from each camera, an image comprising captured features from the calibration pattern. It determines and stores extrinsic calibration parameters (ECPs) for each camera that map coordinates of the features to camera coordinates and that are usable for subsequent normal operation of the cameras, the ECPs being determined from the image features.

Abstract: An occurrence of an event triggering a dynamic recalibration of cameras in a computing device can be detected. In response, respective images of an object can be acquired using each of at least three cameras in the computing device at approximately a same time. Using at least three distinct pairs of the at least three cameras, a respective apparent distance between the computing device and the object can be determined. The respective apparent distances can be analyzed to isolate at least one misaligned camera.

Abstract: A camera module reinforced against excessive torque forces when being installed includes a lens bracket and a lens barrel. The lens bracket includes an internally-threaded receiving barrel, the lens bracket having external threads around its circumference. The external threads match the internal threads, and lower end of the lens bracket includes an annular groove, a resilient ring being received in the annular groove.

Abstract: A method for calculating a dual-camera relative position provided in the present disclosure includes obtaining M groups of dual-camera images, where each group of dual-camera images in the M groups includes two images obtained by photographing a same scene by dual cameras at the same time, screening the M groups of dual-camera images to obtain Q groups of dual-camera images that can be used to calculate the dual-camera relative position, obtaining dual-camera relative position parameters corresponding to each group of dual-camera images in the Q groups according to each group of dual-camera images in the Q groups, and obtaining optimal dual-camera relative position parameters from the Q groups of dual-camera relative position parameters. Therefore, the dual-camera relative position can be calculated when a scene is relatively difficult to recognize.

Abstract: A capture device calibration system accesses a plurality of datasets that are synchronously captured by a set of capture devices. The capture devices are progressively relocated to form a plurality of different positional configurations each implementing a formation that includes a center position and one or more peripheral positions. The capture device calibration system determines three dimensional (“3D”) locations of features of a calibration object positioned in front of the formation based on different representations of the calibration object captured by the set of capture devices from different view angles associated with the center position and the one or more peripheral positions included within the formation. Based on the determined 3D locations of the features of the calibration object, the capture device calibration system determines a set of intrinsic parameter values for one or more of the capture devices in the set of capture devices. Corresponding methods are also disclosed.

Abstract: A method for calibrating an imaging device includes calculating attitude information of the imaging device relative to a screen based at least in part on an image captured by the imaging device, generating a calibration signal based at least in part on the attitude information, displaying the calibration signal on the screen, and displaying a guiding signal on the screen.

Abstract: According to an embodiment, an image processing apparatus includes a matching unit configured to perform stereo matching processing on two images obtained through imaging using two cameras, an error map creating unit configured to create an error map indicating a displacement amount of the two images in a direction orthogonal to a search line for the two images subjected to the stereo matching processing, and a parallelization parameter error determining unit configured to determine whether or not there is an error of rectification which parallelizes the two images, based on the error map.

Abstract: Methods and systems for auto-tuning a handheld scanning device that can account for changes in the orientation between the handheld scanning device and a presented symbol can include capturing a first image containing a presented symbol, recording an orientation parameter and parameters associated with capturing the first image containing the presented symbol, capturing a subsequent image containing the presented symbol, recording an orientation parameter of the presented symbol contained in the subsequent image, comparing the orientation parameter of the symbol contained in the subsequent images to the orientation parameter of the presented symbol contained in the subsequent image, determining if the orientation parameter of the presented symbol contained in the subsequent images is substantially similar to the orientation parameter of the symbol contained in the first image, and recording parameters associated with capturing the subsequent images containing the presented symbol.

Abstract: Disclosed are a backlight brightness adjustment method and apparatus. The backlight brightness adjustment method includes the following steps: dividing a backlight area of a liquid crystal display (LCD) into multiple sub-areas, acquiring maximum pixel brightness M of each sub-area, and acquiring average pixel brightness A according to the maximum pixel brightness M; classifying the brightness into multiple brightness ranges, and separately adjusting duty cycles and drive currents of a backlight source in different brightness ranges according to the average pixel brightness A and the maximum pixel brightness M; determining, according to the maximum pixel brightness M of each sub-area, a brightness range of the sub-area, and acquiring an adjusted duty cycle and drive current that correspond to the brightness range of each sub-area; and correspondingly controlling illumination brightness of each sub-area by using the adjusted duty cycle and drive current. The present invention improves contrast of an LCD.

Abstract: A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format. The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.

Abstract: Various aspects of a system and a method for camera calibration by use of a rotatable three-dimensional (3-D) calibration object are disclosed herein. In accordance with an embodiment, the system includes a first electronic device, which determines a rotation pattern of the 3-D calibration object, based on a set of pre-selected images. The set of pre-selected images includes the 3-D calibration object captured at pre-defined viewing angles. Control information is communicated by the first electronic device to a second electronic device associated with the 3-D calibration object to rotate the 3-D calibration object in accordance with the determined rotation pattern. A plurality of image frames of the 3-D calibration object are captured to calibrate intrinsic and/or extrinsic camera parameters of the first electronic device.

Abstract: Methods and systems for collecting camera calibration data using wearable devices are described. An augmented reality interface may be provided at a wearable device. Directions for a user to present a calibration target to a camera may be presented at the augmented reality interface. Calibration data collected by the camera viewing the calibration target may be received. Existing calibration data for the camera may be validated based at least in part on the collected calibration data.

Abstract: A method for digital environment reconstruction, including: capturing data using an onboard vehicle system; determining a vehicle event and an event class of the vehicle event; extracting a set of agent parameters from the data; generating a virtual model based on the set of agent parameters; and providing the virtual model to a remote system.

Abstract: There is provided with a light amount adjusting device. The light adjusting device has a plurality of optical filter elements. The plurality of optical filter elements have different light transmittances. Reflected light colors from the plurality of optical filter elements are substantially equal.

Abstract: Provided are a microscope including a stage that is movable in a direction perpendicular to an observation optical axis and a camera capturing an image of a sample mounted on the stage; and a processor including hardware, wherein the processor is configured to implement: a generating unit configured to join the image of the sample to generate a joined image; a determination unit configured to determine whether the position of the stage is a position suitable for image capturing; a notifying unit configured to, when it is determined that the position is suitable, issue a notification to that effect; and a control unit configured to control the generating unit so as to join the image obtained by the camera when the moving speed of the stage is at or below a prescribed threshold, in the state where it is being notified that the position is suitable for image capturing.

Abstract: A multi-camera imager (MCI) configured to register a first image of a scene acquired by a first camera comprised in the MCI to a second image of the same scene acquired by a second camera in the MCI based on adjusting a transform configured to register images of a calibration target acquired by the first and second cameras for a same fixed position and orientation of the calibration target using epipolar line segments in one of the cameras associated with image plane coordinates in the other of the cameras.

Abstract: An image captured for a currency note is preprocessed to correct pixel intensity values to expected pixel intensity values. The corrected image is passed to a currency validator for determining whether the currency not is genuine or non-genuine.

Abstract: The present disclosure concerns a method for calibrating a plenoptic camera. The plenoptic camera includes a lenslet array placed between a main lens and a photosensor, the lenslet array having a plurality of lenslets. The method is remarkable in that it includes obtaining a white image W and a model that describes light scene occlusion induced by the main lens and each lenslet. For a given pixel of the photosensor, where the model is represented by a set of parameters, obtaining a first subset of parameters values from the set of parameters in the model and obtaining a second subset of parameters value from the set of parameters in the model by performing a maximum likelihood estimation method based on the model, the white image and the first subset of parameters values, and where a union of the first and the second subsets of parameters corresponds to the set of parameters.

Abstract: An optical evaluation workstation evaluates quality metrics (e.g., optical contrast) of optical elements of a HMD. The workstation includes a test pattern, an optical element feed assembly, a light source, a camera and a control module. The light source backlights the test pattern with diffuse light. The optical element feed assembly receives an optical element of a HMD and places the optical element at a first distance from the test pattern corresponding to a distance between the optics block in the HMD and an exit pupil of the HMD. The camera images the test pattern through the optical element and the camera is positioned at a second distance from the test pattern corresponding to a distance between the exit pupil and an electronic display in the HMD. The control module generates a test report for presentation to a user based on the evaluation of the optical element.

Abstract: An in-vehicle camera calibrator is provided. The in-vehicle camera calibrator includes a targeted camera selector for selecting a targeted camera requiring the calibration, an intermediate camera selector for selecting an intermediate camera which is the in-vehicle camera that intervenes between the targeted camera and a criterial camera, a first calibrator for, when the intermediate camera is not selected, calibrating the targeted camera based on a captured image of an overlapping region between the criterial camera and the targeted camera, and a second calibrator for, when the intermediate camera is selected, calibrating the intermediate camera based on a captured image of an overlapping region between the criterial camera and the targeted camera, and then calibrating the targeted camera based on a captured image between the calibrated intermediate camera and the targeted camera.

Abstract: A camera is to capture an actual image of a target pattern. A calibration device is to render pixels in a synthetic image of the target pattern by tracing rays from the pixels to corresponding points on the target pattern based on model parameters for a camera. The calibration device is to also modify the model parameters to minimize a measure of distance between intensities of the pixels in the synthetic image and intensities of pixels in the actual image.

Abstract: An image capturing apparatus according to an aspect of the present invention includes an image capturing unit, a display unit that displays an imaged picture imaged by the image capturing unit and a guide linearly shaped along a sagittal direction or a tangential direction in the imaged picture, the guide assisting imaging of a calibration image used for calibration in a point image restoration process, and a parameter calculation unit that calculates a parameter for the point image restoration process on the basis of the calibration image imaged by the image capturing unit with assistance from the guide.

Abstract: A method of auto-calibrating light sensor data of a mobile device includes, obtaining, by the mobile device, one or more reference parameters representative of light sensor data collected by a reference device. The method also includes collecting, by the mobile device, light sensor data from a light sensor included in the mobile device, itself. One or more sample parameters of the light sensor data obtained from the light sensor included in the mobile device are then calculated. A calibration model is then determined for auto-calibrating the light sensor data of the light sensor included in the mobile device based on the one or more reference parameters and the one or more sample parameters.

Abstract: A calibration method of an image capture system includes an image capture device of at least one image capture device capturing an image including a plurality of intersection coordinates among a plurality of geometric blocks of a test pattern and an information of a color of each geometric block of the plurality of geometric blocks; an operation unit executing a first operation on the plurality of intersection coordinates within the image to generate a plurality of geometric calibration parameters; the operation unit executing a second operation on an information of a color of each geometric block of the plurality of geometric blocks within the image to generate a plurality of color calibration parameters; and a calibration unit calibrating the image capture device according to the plurality of geometric calibration parameters and the plurality of color calibration parameters.

Abstract: The present invention is to provide a method for enabling an electronic device to read at least two images taken from different positions by a digital camera mounted with a fisheye lens; acquire internal and external parameters of the fisheye lens corresponding to the different positions as well as the vignetting coefficient for eliminating the vignetting on the images; perform exposure compensation and color calibration on the images for letting them have consistent brightness and hues; project the images onto a spherical surface and spread out the spherical surface to form a two-dimensional spread-out picture based on the parameters; register the overlapped images projected on the two-dimensional spread-out picture and adjust the offset of corresponding pixels thereof, register and adjust the brightness and hues of the overlapped images into consistency; and fuse overlapped images together to produce a 360-degree spherical panorama without having any noticeable stitching seam between the images.

Abstract: Systems and methods for calibrating an array camera are disclosed. Systems and methods for calibrating an array camera in accordance with embodiments of this invention include the detecting of defects in the imaging components of the array camera and determining whether the detected defects may be tolerated by image processing algorithms. The calibration process also determines translation information between imaging components in the array camera for use in merging the image data from the various imaging components during image processing. Furthermore, the calibration process may include a process to improve photometric uniformity in the imaging components.

Abstract: The invention relates to a camera system for inspecting and/or measuring objects in an environment, comprising a color image sensor, an objective arrangement in front of the color image sensor for imaging an object from the environment on the color image sensor and at least one taking illumination light source with which the environment can be illuminated by non-monochromatic light, in particular without passing through the objective arrangement. In accordance with the invention, an internal reference illumination light source is provided which is arranged such that the color image sensor can be illuminated by it without the light irradiated by it for this purpose passing through the objective arrangement. The invention furthermore relates to a method for inspecting and/or measuring objects using such a camera system.

Abstract: The invention provides a method, a system and a computer-readable medium for calibrating a camera by using a multi-pattern calibration rig, each pattern being repetitive and comprising calibration shapes, wherein the following steps are carried out: capturing an image of the multi-pattern calibration rig with the camera, segmenting contours of the imaged calibration shapes, building groups of coherent contours based on the similarity of their shapes and their distances from each other, and identifying the positions of the patterns in the image based on the contour groups.

Abstract: A method of calibrating a six-degree-of-freedom (6DoF) pose of a natural user interface (NUI) camera relative to a display is provided. Calibration video imaging an environment from a calibration perspective, which sites the display and one or more features, is received from the NUI camera or a calibration camera. A three-dimensional map of the environment, which defines a 6DoF pose of the display and a three-dimensional location of each of the one or more features, is modeled from the calibration video. Primary video imaging the environment from an operation perspective, which sites the one or more features, is received from the NUI camera. A 6DoF pose of the NUI camera is found within the three-dimensional map of the environment based on the operation perspective view of the one or more features.

Abstract: An optical evaluation workstation evaluates quality metrics (e.g., virtual image distance) of eyecup assemblies of a head mounted display (HMD). The workstation includes an eyecup assembly feed assembly configured to receive an eyecup assembly of a head mounted display (HMD), the eyecup assembly comprising an optics block rigidly fixed at a first distance to an electronic display panel. The optical evaluation workstation includes a camera assembly configured to capture a plurality of images of the electronic display panel through the optics block, the camera assembly comprising a pinhole aperture at an exit pupil position and a camera attached to a lens assembly having an adjustable focus. The optical evaluation workstation includes a control module configured to determine one or more virtual image distances of the eyecup assembly using the plurality of images captured by the camera assembly.

Abstract: An imaging system may include an image sensor having a pixel array. The pixel array may receive test signals from multiplexers located at the top or bottom of each column of the array. Test signals may be provided to each column based on a predefined test pattern. In some arrangements, pixel array photodiodes may receive test signals through an anti-blooming transistor while the anti-blooming transistor is on. In other arrangements, dark current of photodiodes in the pixel array may be modulated by voltages applied to the drain of an anti-blooming transistor while the anti-blooming transistor is off. In other arrangements, pixel array photodiodes may receive test signals through a reset transistor. Arbitrary test patterns may be applied to determine photodiode or floating diffusion node leakage and incorrect pixel control voltages. Arbitrary patterns may also be superimposed on light-based image data in the manner of a watermark.

Abstract: An image processing apparatus according to an embodiment of the present invention performs a first correction for an image based on a correction value corresponding to a step designated by an operator among a plurality of steps corresponding to a plurality of correction values used for correcting the image. The image processing apparatus stores information used for specifying a change amount of a correction value corresponding to a change of one step of the plurality of steps in a memory. The change amount can be changed, and the change amount at the time of operator's designating the step is stored. The image processing apparatus performs a second correction for the image based on the change amount of the correction value corresponding to the change of the one step that is specified by the information stored in the memory.

Abstract: A serial communication apparatus includes an adder configured to add a start code and a length code to a head of data, a transmitter configured to convert the data together with the added start code and the added length code into a serial format and to transmit the converted data including the start code and the length code, a receiver configured to receive the converted data transmitted from the transmitter, and a processor configured to detect the start code and the length code included in the received converted data, to specify the head of the data based on the detected start code, to specify a tail of the data based on the detected start code and the detected length code, and to process the converted data based on the specified head and the specified tail of the data.

Abstract: The dynamic range of a pixel is increased by using selective photosensor resets during a frame time of image capture at a timing depending on the light intensity that the pixel will be exposed to during the frame time. Pixels that will be exposed to high light intensity are reset later in the frame than pixels that will be exposed to lower light intensity.

Abstract: A method of registering first and second cameras in a multi-camera imager comprising imaging a calibration target having rows and columns of fiducials with both the first and second cameras and using convergence angles of images of the rows and columns in the images to register the cameras.

Abstract: A calibration method of a stereo camera includes transmitting a group of system parameters of the stereo camera to a server; downloading calibration pattern corresponding to the group of system parameters from the server; calculating a plurality of camera calibration parameters corresponding to the stereo camera according to the calibration pattern; and executing an image rectification operation on a left eye image capture unit and a right eye image capture unit of the stereo camera according to the plurality of camera calibration parameters, respectively.

Abstract: An image processor includes a corrector that corrects deviation of a coordinate in an image photographed by a photographing unit based on a correction parameter stored in a memory; and an updater that generates the correction parameter based on the image photographed by the photographing unit, and updates the correction parameter stored in the memory, the updater updating the correction parameter according to a process condition based on the image corrected by the corrector.