Abstract: Measurement accuracy of a remote visual inspection (RVI) system is tested using a test object including a test feature having a known geometric characteristic. Using a controller, attachment of a detachable measurement optical tip to an RVI probe is detected. A user is then prompted to perform testing of the measurement accuracy. When the user indicates the test feature is visible, the system captures one or more images of the test feature, determines coordinates of the test feature from the images, and measures a geometric characteristic of the test feature using the coordinates. An accuracy result is determined using the measured geometric characteristic and the known geometric characteristic, and an indication is provided, e.g., to the user, of the result of the comparison. An RVI system with a user-prompt device is also described.

Abstract: An apparatus for distributing the bus traffic of the multiple camera inputs of an automotive system on chip (SoC) and an automotive SoC using the apparatus are disclosed. The plurality of camera data caches stores data from the plurality of cameras in corresponding internal buffers, measures the data storage status of the buffers, and transmits the data to memory. The bus monitor analyzes a bus signal, and then outputs a signal capable of allowing the plurality of camera data caches to transmit the data via the bus based on the results of the analysis. The master arbiter determines the priorities of use of the bus of the camera data caches, and provides the right to use the bus to the plurality of camera data caches based on the priorities of use of the bus.

Abstract: An unevenness inspection apparatus including: an image pickup section obtaining a pickup image of a test object; an image generating section generating each of a color unevenness inspection image and a luminance unevenness inspection image based on the pickup image; a calculating section calculating an evaluation parameter using both of the color unevenness inspection image and the luminance unevenness inspection image; and an inspecting section performing unevenness inspection using the calculated evaluation parameter. The calculating section calculates the evaluation parameter in consideration of unevenness visibility for both color and luminance.

Abstract: With the distance between a reference plane and a line light source (13) maintained at a first distance, the line light source (13) is translated in two different directions, and the position of the line light source (13) for each individual pixel where the pixel has been photographed from an incident ray radiated from the line light source (13) is stored (STEP 3, 4). With the distance between the reference plane and the line light source (13) maintained at a second distance different from the first distance, the line light source (13) is translated in two different directions, and the position of the line light source (13) for each individual pixel where the pixel has been photographed from an incident ray radiated from the line light source (13) is stored (STEP 6, 7). A straight line with the minimum distance to the positions of the four line light sources is deduced as the trajectory (S) of the incident ray to each pixel (STEP 8, 9).

Abstract: A calibration device applied to an image capture system includes a support unit and a plurality of display pattern generation units. The plurality of display pattern generation units are pivoted to the support unit. Each display pattern generation unit of the plurality of display pattern generation units includes a plurality of marks, the plurality of marks are used for generating a display pattern corresponding to the display pattern generation unit, the plurality of marks are not overlapped each other in the display pattern, and a plurality of display patterns of the plurality of display pattern generation units are also not overlapped each other. The plurality of display patterns are used for forming a calibration pattern applied to geometric calibration of the image capture system.

Abstract: There is provided an image processing apparatus including multiple imaging units included in a stereo camera, the multiple imaging units configured to photograph a chart pattern including a pole, and a correction parameter calculation unit configured to calculate a correction parameter that corrects a gap between the multiple imaging units, based on the pole and a pattern included in the chart pattern photographed by the multiple imaging units.

Abstract: A theoretical motion blur amount is calculated. A static state image is acquired. For each of the plurality of shutter speed values, a bokeh amount at the boundary between different color areas in each of a plurality of the static state images that have been acquired is measured as a bokeh offset amount. A vibrated state image while the camera is being vibrated with its image stabilization function being ON is acquired. A bokeh amount at the boundary between different color areas in each of the plurality of vibrated state images that have been acquired is measured as a measured comprehensive bokeh amount. And an evaluation value indicating the performance of the image stabilization function of the camera is calculated based on the theoretical motion blur amount, the bokeh offset amount, and the measured comprehensive bokeh amount.

Abstract: The illuminated object is brought to focus by a microscope objective lens in a focal plane. This image acts as the object for the lens under test. The position of the focal plane is adjusted by moving the object generator/viewing stage in the form of an autocollimator with a split beam eyepiece until it is coincident with the infinity focal plane of the lens under test. When this condition has been achieved, light transmitted by the test lens will be collimated. This collimated beam is reflected by a plane mirror and re-enters the test lens to be imaged in the focal plane and provide a well-focussed image as viewed by through the eyepiece. This image is also available for analysis using photoelectric techniques.

Abstract: A captured image including a preferential calibration index arranged in an exclusive region in a first plane and a non-preferential calibration index arranged in a common region is obtained. First, the coordinate position of the preferential calibration index is detected, and then the coordinate position of the non-preferential calibration index is calculated based on the positional relationship with the detected preferential calibration index. A homography between a captured-image surface of the image surface and the first plane is calculated based on the actual coordinate positions and the calculated coordinate positions representing the coordinates of at least four points, and camera calibration is performed using the homography.

Abstract: An image processing device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, acquiring an image that includes a marker that includes a plurality of first color regions and a plurality of second color regions, of which a color is different from a color of the first color regions, the plurality of first color regions being opposed to each other and the plurality of second color regions being opposed to each other; extracting the first color regions or the second color regions from the image; reducing the first color regions or the second color regions until a first degree of similarity between a shape of the first color regions or the second color regions, the first color regions or the second color regions being extracted, and a predetermined elliptical shape satisfies a predetermined first threshold value.

Abstract: There is provided a method for configuring a set of image capturing settings of a camera for a first scene condition type currently viewed by the camera. The method comprises detecting the first scene condition type; instructing the camera to acquire a plurality of test images, each test image corresponding to a set of image capturing settings; receiving input relating to a selected test image, and storing the set of image capturing settings corresponding to the selected test image as the configured set of image capturing settings for the first scene condition type to be used by the camera upon future detections of the first scene condition type.

Abstract: Methods and systems are disclosed for updating camera geometric calibration utilizing scene analysis. Geometric calibration parameters can be derived with respect to one or more cameras and selected reference points of interest identified from a scene acquired by one or more of such cameras. The camera geometric calibration parameters can be applied to image coordinates of the selected reference points of interest to provide real-world coordinates at a time of initial calibration of the camera(s). A subset of a video stream from the camera(s) can then be analyzed to identify features of a current scene captured by the camera(s) that match the selected reference points of interest and provide a current update of the camera geometric calibration parameters with respect to the current scene.

Abstract: There is provided a calibrating apparatus for an on-board camera of a vehicle, which allows speedy, yet reliable decision of acceptance/rejection of calibration result, with a simple apparatus construction, without depending on or being influenced by the calibration environment. An image processing target region on which an image processing for detection of each calibration point in each one of calibration markers in a camera-captured image which is a projecting plane of a camera coordinate system is displayed as a region frame in the form of a graphic image, in superposition with the camera-captured image.

Abstract: Systems and methods for calibrating a 360 degree camera system include imaging reference strips, analyzing the imaged data to correct for pitch, roll, and yaw of cameras of the 360 degree camera system, and analyzing the image data to correct for zoom and shifting of the cameras. Each of the reference strips may include a bullseye component and a dots component to aid in the analyzing and correcting.

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 capturing of an image of a test pattern with the array camera such that each imaging component in the array camera captures an image of the test pattern. The image of the test pattern captured by a reference imaging component is then used to derive calibration information for the reference component. A corrected image of the test pattern for the reference component is then generated from the calibration information and the image of the test pattern captured by the reference imaging component. The corrected image is then used with the images captured by each of the associate imaging components associated with the reference component to generate calibration information for the associate imaging components.

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: A method for dynamically calibrating rotational offset in a device includes obtaining an image captured by a camera of the device. Orientation information of the device at the time of image capture may be associated with the image. Pixel data of the image may be analyzed to determine an image orientation angle for the image. A device orientation angle may be determined from the orientation information. A rotational offset, based on the image orientation angle and the device orientation angle, may be determined. The rotational offset is relative to the camera or orientation sensor. A rotational bias may be determined from statistical analysis of numerous rotational offsets from numerous respective images. In some embodiments, various thresholds and predetermined ranges may be used to exclude some rotational offsets from the statistical analysis or to discontinue processing for that image.

Abstract: Imaging systems may be provided with image sensors having verification circuitry. Verification circuitry may be configured to continuously or occasionally verify that the image sensor is functioning properly. For example, verification circuitry may be configured to monitor levels of leakage current during standby mode. Verification circuitry may be coupled between a power supply and circuitry that is powered by that power supply. When the imaging system is in standby mode, circuitry associated with the imaging system such as pixel circuitry may draw a standby leakage current. Verification circuitry may be configured to measure the amount of standby leakage current drawn by associated imaging system circuitry. If the measured level of standby leakage current exceeds a maximum acceptable level of standby leakage current, a warning signal may be generated. Standby leakage current levels on multiple power supply lines may be monitored with associated verification circuitry.

Abstract: A spectro-colorimeter system for imaging pipeline is provided, the system including a camera system; a spectrometer system; and a controller coupling the camera system and the spectrometer system. In some embodiments the camera system is configured to provide a color image with the first portion of the incident light. Also, in some embodiments the spectrometer system is configured to provide a tristimulus signal from the second portion of the incident light. Furthermore, in some embodiments the controller is configured to correct the color image from the camera system using the tristimulus signal from the spectrometer. An imaging pipeline method for using a system as above is also provided. Further, a method for color selection in an imaging pipeline calibration is provided.

Abstract: A substantially rectangular spectral representation is synthesized, which is adapted to produce image capture device sensor outputs if applied to an image capture device. The synthesized substantially rectangular spectral representation can be utilized in generating output color values of an output color space from image capture device sensor outputs, where the image capture device sensor outputs correspond to an image captured by an image capture device. The generated output color values correspond to colors perceived by the human visual system for the same image as that captured by the image capture device. Image capture device gamut is also determined.

Abstract: Systems and methods for calibrating a 360 degree camera system include imaging reference strips, analyzing the imaged data to correct for pitch, roll, and yaw of cameras of the 360 degree camera system, and analyzing the image data to correct for zoom and shifting of the cameras. Each of the reference strips may include a bullseye component and a dots component to aid in the analyzing and correcting.

Abstract: There is provided an information processing device including an acquirer that acquires second data obtained by converting first data constituted by bit data having a first number of bits into symbols having a second number of bits greater than the first number of bits, with respect to each of the bit data, a comparator that compares a first symbol string constituted by a plurality of symbols contained in the second data prior to reverse conversion of the acquired second data into the first data, to a second symbol string representing a code targeted for detection, and a detector that detects the first symbol string as the code targeted for detection from the second data, on the basis of the result of the comparison by the comparator.

Abstract: A novel image sensor includes a pixel array, a row control circuit, a test signal injection circuit, a sampling circuit, an image processing circuit, a comparison circuit, and a control circuit. In a particular embodiment, the test signal injection circuit injects test signals into the pixel array, the sampling circuit acquires pixel data from the pixel array, and the comparison circuit compares the pixel data with the test signals. If the pixel data does not correspond to the test signals, the comparison circuit outputs an error signal. Additional comparison circuits are provided to detect defects in the control circuitry of an image sensor.

Abstract: The present invention relates to a high precision method, model and apparatus for calibrating, determining the rotation of the lens scope around its symmetry axis, updating the projection model accordingly, and correcting the image radial distortion in real-time using parallel processing for best image quality. The solution provided herein relies on a complete geometric calibration of optical devices, such as cameras commonly used in medicine and in industry in general, and subsequent rendering of perspective correct image in real-time. The calibration consists on the determination of the parameters of a suitable mapping function that assigns each pixel to the 3D direction of the corresponding incident light.

Abstract: Systems and methods for determining a customized cosmetic formulation. In one method, a user is guided to capture an image of a skin region with known lighting and color characteristics, and the image is processed to provide calibrated skin color information. A customized cosmetic formulation is automatically determined for the user based on the calibrated skin color information. In another method, a user is interactively guided through capture of one or more skin region images using a device having an image sensor. The skin region images are processed to provide calibrated skin color information, which is compared to a ground truth data set to identify a set of closest known values in the ground truth data set. A customized cosmetic formulation is automatically determined for the user based on the comparison.

Abstract: A method for calibrating auto white balancing in an electronic camera includes (a) obtaining a plurality of color values from a respective plurality of images of real-life scenes captured by the electronic camera under a first illuminant, (b) invoking an assumption about a true color value of at least portions of the real-life scenes, and (c) determining, based upon the difference between the true color value and the average of the color values, a plurality of final auto white balance parameters for a respective plurality of illuminants including the first illuminant. An electronic camera device includes an image sensor for capturing real-life images of real-life scenes, instructions including a partly calibrated auto white balance parameter set and auto white balance self-training instructions, and a processor for processing the real-life images according to the self-training instructions to produce a fully calibrated auto white balance parameter set specific to the electronic camera.

Abstract: A Schlieren imaging system can comprise a digital display configured to provide a background for Schlieren imaging, a cutoff filter onto which the background is focused, and a camera configured to image the cutoff filter and the background to facilitate Schlieren imaging. A calibration method for the Schlieren imaging system can comprise forming a pixel image on a digital display, focusing the pixel image on the cutoff filter, imaging the cutoff filter and the pixel image with a camera; and moving the pixel image with respect to the cutoff filter to align the pixel image with respect to the cutoff filter to facilitate Schlieren imaging. Thus, alignment of the Schlieren imaging system can be substantially simplified.

Abstract: A method for preparing a spatial coded slide image in which a pattern of the spatial coded slide image is aligned along epipolar lines at an output of a projector in a system for 3D measurement, comprising: obtaining distortion vectors for projector coordinates, each vector representing a distortion from predicted coordinates caused by the projector; retrieving an ideal pattern image which is an ideal image of the spatial coded pattern aligned on ideal epipolar lines; creating a real slide image by, for each real pixel coordinates of the real slide image, retrieving a current distortion vector; removing distortion from the real pixel coordinates using the current distortion vector to obtain ideal pixel coordinates in the ideal pattern image; extracting a pixel value at the ideal pixel coordinates in the ideal pattern image; copying the pixel value at the real pixel coordinates in the real slide image.

Abstract: This invention provides a calibration method and a corresponding apparatus for optical imaging lens system with double optical paths. The apparatus for optical imaging lens system with double optical paths comprises a first optical subsystem, a second optical subsystem and a calibration module. The calibration module receives a first image data from the first optical subsystem and a second image data from the second optical subsystem. The calibration module calibrates the first image data according to at least one selected optical parameter of the second optical subsystem, and calibrates the second image data according to at least one selected optical parameter of the first optical subsystem. The selected optical parameters of the first optical subsystem and the second optical subsystem are different.

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 capturing of an image of a test pattern with the array camera such that each imaging component in the array camera captures an image of the test pattern. The image of the test pattern captured by a reference imaging component is then used to derive calibration information for the reference component. A corrected image of the test pattern for the reference component is then generated from the calibration information and the image of the test pattern captured by the reference imaging component. The corrected image is then used with the images captured by each of the associate imaging components associated with the reference component to generate calibration information for the associate imaging components.

Abstract: Various techniques are disclosed for reducing spatial and temporal noise in captured images. In one example, temporal noise may be filtered while still retaining temporal responsivity in filtered images to allow low contrast temporal events to be captured. Spatial and temporal noise filters may be selectively weighted to more strongly favor filtering using whichever one of the filters is least likely to cause a loss of signal fidelity in actual scene content. Other techniques are disclosed for determining various parameters of imaging systems having image lag. For example, a mean-variance characterization and a noise equivalent irradiance characterization may be performed to determine parameters of the imaging systems. Results of such characterizations may be used to determine the actual performance of the imaging systems without the effects of image lag.

Abstract: An imaging system may include an array of image pixels. The array of image pixels may be provided with one or more rows and columns of optically shielded dark image pixels. The dark image pixels may be used to produce verification image data that follows the same pixel-to-output data path of light-receiving pixels. The output signals from dark pixels may be continuously or intermittently compared with a set of expected output signals to verify that the imaging system is functioning properly. In some arrangements, verification image data may include a current frame number that is encoded into the dark pixels. The encoded current frame number may be compared with an expected current frame number. In other arrangements, dark pixels may be configured to have a predetermined pattern of conversion gain levels. The output signals may be compared with a “golden” image or other predetermined set of expected output signals.

Abstract: A method of calibrating an image sensor may include detecting a response from a pixel of the image sensor as a result of light having an intensity impinging on the pixel, and measuring the actual standard deviation of the response of the pixel at the intensity of light. The method may also include determining an averaging number for the pixel at the intensity. The averaging number may be a number of responses of the pixel at the intensity to be averaged to attain an average response having a standard deviation less than or equal to a target value. The method may further include determining the average response of the pixel using the determined averaging number.

Abstract: An example system for testing camera modules includes: a structure for holding camera modules under test, where each of the camera modules includes an image sensor, and where the camera modules are arranged in a same plane on the structure and offset from each other in the plane; and a target for use in testing the camera modules concurrently, where the target includes multiple tiles that are repeated, where each tile contains information for use in testing a camera module, and where the camera modules and the tiles are arranged so that different camera modules face different tiles but see at least some of the same information at the same angle.

Abstract: This invention provides a system and method for generating camera calibrations for a vision system camera along three discrete planes in a 3D volume space that uses at least two (e.g. parallel) object planes at different known heights. For any third (e.g. parallel) plane of a specified height, the system and method then automatically generates calibration data for the camera by interpolating/extrapolating from the first two calibrations. This alleviates the need to set the calibration object at more than two heights, speeding the calibration process and simplifying the user's calibration setup, and also allowing interpolation/extrapolation to heights that are space-constrained, and not readily accessible by a calibration object. The calibration plate can be calibrated at each height using a full 2D hand-eye calibration, or using a hand-eye calibration at the first height and then at a second height with translation to a known position along the height (e.g. Z) direction.

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: Disclosed is a method of determining at least one three-dimensional (3D) geometric parameter of an imaging device. A two-dimensional (2D) target image is provided having a plurality of alignment patterns. The target image is imaged with an imaging device to form a captured image. At least one pattern of the captured image is compared with a corresponding pattern of the target image. From the comparison, the geometric parameter of the imaging device is then determined. The alignment patterns include at least one of (i) one or more patterns comprising a 2D scale and rotation invariant basis function, (ii) one or more patterns comprising a 1D scale invariant basis function, and (iii) one or more patterns having a plurality of grey levels and comprising a plurality of superimposed sinusoidal patterns, the plurality of sinusoidal patterns having a plurality of predetermined discrete orientations.

Abstract: In a method for authenticating a charge-coupled device (CCD), e.g., in a digital camera including the charge-coupled device, a physical unclonable function is utilized for the authentication. In the method, a response to be measured of pixels in the charge-coupled device to a defined incident light is used as the physical unclonable function.

Abstract: A method is for monitoring the electrical integrity of lines of photosites of an imaging device with matrix array of photosites. The control lines of photosites may include for each line of photosites an emission of elementary electrical control signals for the photosites of the line. The method may include diagnosis of the elementary electrical control signals emitted.

Abstract: A novel image sensor includes a pixel array, a row control circuit, a test signal injection circuit, a sampling circuit, an image processing circuit, a comparison circuit, and a control circuit. In a particular embodiment, the test signal injection circuit injects test signals into the pixel array, the sampling circuit acquires pixel data from the pixel array, and the comparison circuit compares the pixel data with the test signals. If the pixel data does not correspond to the test signals, the comparison circuit outputs an error signal. Additional comparison circuits are provided to detect defects in the control circuitry of an image sensor.

Abstract: An imager including a self test mode. The imager includes a pixel array for providing multiple pixel output signals via multiple columns; and a test switch for (a) receiving a test signal from a test generator and (b) disconnecting a pixel output signal from a column of the pixel array. The test switch provides the test signal to the column of the pixel array. The test signal includes a test voltage that replaces the pixel output signal. The test signal is digitized by an analog-to digital converter (ADC) and provided to a processor. The processor compares the digitized test signal to an expected pixel output signal. The processor also interpolates the output signal from a corresponding pixel using adjacent pixels, when the test switch disconnects the pixel output signal from the column of the pixel array.

Abstract: A test apparatus comprising a combination of front illuminated and rear illuminated optical reference test elements designed to produce predetermined electronic signals. The front illuminated elements comprise spectrophotometrically neutral gray patches and primary and secondary color patches of predetermined hues. Additional color patches having the same hue as the primaries and secondaries, but at lower saturation levels, generate unique logical patterns on display devices well known to the broadcasting and image reproducing industries. The rear illuminated test elements comprise wide color gamut hues at levels of saturation not attainable in reflected light systems. Also disclosed is a method of evaluating and optimizing the image quality in high gamut imaging systems, using the above described apparatus.

Abstract: A digital image captured by a digital camera module is scaled to a smaller size, and separately horizontal direction filtered and vertical direction filtered using one-dimensional spatial filters. The horizontal direction filtered image and the vertical direction filtered image are combined, wherein edge regions and corner regions of the combined filtered image are created differently than its middle region. The combined filtered image is then thresholded selected pixels of the thresholded image are marked as a blemish region. Other embodiments are also described and claimed.

Abstract: A test system includes a mobile device including an evaluation application, and a host including a test automation framework (TAF). The host is configured to receive an image corresponding to a screen of the mobile device via the evaluation application and the TAF, display the received image on a screen of the host, scan the received image, and identify a portion of the received image based on a result of scanning the received image.

Abstract: Provided is a method and a system for detecting an error focus calibration, wherein a first DFOV value is measured in a state before the collimator lens is interposed between the resolution chart and the camera module, and a second DFOV value is measured in a state after the collimator lens is interposed between the resolution chart and the camera module, a determination is made whether a value obtained by subtracting the second DFOV value from the first DFOV value is smaller than a threshold value, and detecting as an error of auto calibration, in a case the subtracted value is greater than the threshold value.

Abstract: An object of the present invention is to simplify a calibration operation of a camera and to shorten a time necessary for calibration. A camera calibration device 10 is mounted on a predetermined position of a movable object 100 and includes a camera 11 configured to take an image including an index 41 provided outside the movable object 100, an image superimposing unit 122 configured to generate a superimposed image by superimposing a calibration object 42 having a position adjustment part and a rotation adjustment part on the image taken by the camera 11, and a calculation unit 124 configured to calculate, based on a position of the calibration object 42 after being shifted in the superimposed image such that an end or a center of the index 41 meets the position adjustment part and a part of the index other than the end or the center overlaps the rotation adjustment part, parameters relative to a pan angle, a tilt angle and a roll angle for calibration of the camera mounting position.

Abstract: Disclosed herein is a test socket for camera modules, which enables automated inspection of camera modules. The test socket for camera modules includes a base plate provided with a loading unit on which a camera module to be tested is placed; a slider formed on the base plate and horizontally movable thereon; an upper plate formed on the slider to move up or down thereon, and including a cover corresponding to an upper portion of the camera module; a vertical cylinder allowing the upper plate to vertically reciprocate with respect to the slider; and a pin block formed on the loading unit or the cover and connected to a contact point of the camera module.

Abstract: Improved systems and techniques for calibrating an electronic imaging module are described. An electronic imaging module is subjected to a stimulus and properties of the stimulus are measured. Calibration data associated with the electronic imaging module is stored. The calibration data comprises calibration data indicative of a response of the electronic imaging module to the stimulus, as well as calibration data indicative of the measured properties of the stimulus.

Abstract: A system is described for determining an imaging deviation of a camera having: the camera, which is focused on a first distance, having a target pattern unit, which is situated at a second distance from the camera in a field of view of the camera and which has a three-dimensional surface texture having calibration markings, having a lens unit which is situated at a third distance from the camera and between the target pattern unit and the camera and is developed so that the three-dimensional surface texture is able to be imaged by the camera, and having a control unit that is connected to the camera and which is developed so that the imaging deviation of the camera is determinable by evaluating an image taken of the calibration markings of the three-dimensional surface texture. Also described is a method for determining an imaging deviation of a camera.

Abstract: Calculating a gain setting for a primary image sensor includes receiving a test-matrix of pixels from a test image sensor, and receiving a first-frame matrix of pixels from a primary image sensor. A gain setting is calculated for the primary image sensor using the first-frame matrix of pixels except those pixels imaging one or more exclusion regions identified from the test matrix of pixels.