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: Described are methods and apparatus for adjusting images of a stereoscopic image pair based on keypoint matches. The quality of the key point matches is first evaluated to determine whether the quality exceeds a keypoint quality threshold. If the quality level of the keypoint matches exceeds the threshold, the vertical disparity between the images of the stereoscopic image pair can be evaluated based on vertical disparity vectors between the keypoint matches. If the vertical disparity is below a threshold, no adjustment of the stereoscopic image pair may be performed. If the vertical disparity is above the threshold, an affine correction may compensate for pitch, roll, and scale differences between the images. A projective correction may compensate for yaw differences. The vertical disparity between the two images is then evaluated after the corrections to determine if additional adjustment should be performed.

Abstract: This disclosure describes techniques for initially calibrating an image capture device. According to one aspect, the calibration includes calibrating parameters of an image filter for resolving the captured image. The method includes receiving a captured image of a test target and resolving the captured image using a set of initial parameters. A sharpness index of the resolved image is determined without matching the captured image to the test target. The sharpness index is used to minimize a cost function for determining parameters for use by the image capture device.

Abstract: In order to determine extrinsic parameters of a vehicle vision system or an aspect of a vehicle vision system, road lane markings may be identified in an image captured by a camera and provided to the vehicle vision system. For one or more of the identified road lane markings, a first set of parameters defining an orientation and a position of a line along which a road lane marking extends in an image plane may be determined. Also, a second set of parameters defining an orientation and a position of a line along which a road lane marking extends in a road plane may be determined. A linear transformation that defines a mapping between the first set of parameters and the second set of parameters may be identified. The extrinsic parameters may be established based on the identified linear transformation.

Abstract: Appropriate selection of calibration data by shortening process time without wasteful processing is provided. Before measuring a three dimensional point of a target object from a stereo image, the calibration data according to an in-focus position of taking optical systems are applied to the stereo image. To select the calibration data, an object distance is acquired according to parallax obtained from the stereo image being reduced. The object distance is an estimated focusing distance corresponding to the in-focus position. One of the calibration data assigned with a set distance region in which the estimated focusing distance is included is selected. Respective view images are reduced in a range in which it is possible to detect any one of the set distance regions determined for a respective reference focusing distance corresponding to the calibration data.

Abstract: One example discloses a method for calibrating an imager. A plurality of images of a target, each having an associated integration time, are captured at the imager. A representative digital count is determined for each of the plurality of images. Integration time is represented as a function of digital count from the respective digital counts and integration times associated with the plurality of images. A calibrated integration time is calculated from a target digital count.

Abstract: In a first aspect, the invention is directed to a vehicular camera and a method for calibrating the camera after it has been installed in a vehicle. In particular, the invention is directed to calibrating a vehicular camera after the camera has been installed in a vehicle, wherein the camera is of a type that applies an overlay to an image and outputs the image with the overlay to an in-vehicle display.

Abstract: A system for calibrating a vision system of an object. For example, a system for calibrating a surround view system of a vehicle. The system may be configured to capture, via a first and second image sensor, a first and second image of a plurality of objects. Upon capturing such information, the system may be configured to determine a position and orientation of the first and the second image sensor relative to the plurality of objects based on the first and the second captured image. Further, the system may be configured to determine a relative position and orientation between the first and the second image sensor based on a result of the determining a position and orientation of the first and the second image sensor. Also, the system may be configured to determine intrinsic and extrinsic parameters of the first and the second image sensor.

Abstract: Systems and methods for testing and calibrating camera modules based on a benchmark standard are provided. The systems can include a receptacle for receiving a camera module under test and a spectrometer. The test station can capture a test measurement using the camera module under test while contemporaneously capturing a true measurement using the spectrometer. Using the true measurement, the test station can predict how the benchmark standard would have performed in those conditions and compare that expected performance to the test measurement. Any differences can be stored in memory within the camera module under test for later retrieval to optimize image processing.

Abstract: An alignment apparatus for adjusting an image sensor is provided. The alignment apparatus includes a first stage, a second stage, a positioning aligned unit, and an adjustment unit. The second stage is floatingly disposed on the first stage. The image sensor is adapted to be disposed on the second stage. The positioning aligned unit connected between the first stage and the second stage constrains the second stage on a datum surface above the first stage. The positioning aligned unit coupled to the second stage drives the second stage to rotate along the datum surface.

Abstract: A camera installation position evaluating system includes a processor, the processor executing a process including setting a virtual plane orthogonal to the optic axis of a camera mounted on a camera mounted object, generating virtually a camera image to be captured by the camera, with use of data about a three-dimensional model of the camera mounted object, data about the virtual plane set by the setting and parameters of the camera, and computing a boundary between an area of the three-dimensional model of the camera mounted object and an area of the virtual plane set by the setting, on the camera image generated by the generating. Accordingly, the camera installation position evaluating system is able to quantitatively obtain the camera's view range at the present camera installation position based on the computed boundary.

Abstract: Systems and methods for generating motion corrected tomographic images are provided. A method includes obtaining first images of a region of interest (ROI) to be imaged and associated with a first time, where the first images are associated with different positions and orientations with respect to the ROI. The method also includes defining an active region in the each of the first images and selecting intrinsic features in each of the first images based on the active region. Second, identifying a portion of the intrinsic features temporally and spatially matching intrinsic features in corresponding ones of second images of the ROI associated with a second time prior to the first time and computing three-dimensional (3D) coordinates for the portion of the intrinsic features. Finally, the method includes computing a relative pose for the first images based on the 3D coordinates.

Abstract: A system for computing one or more calibration parameters of a camera is disclosed. The system comprises a processor and a memory. The processor is configured to provide a first object either marked with or displaying three or more fiducial points. The fiducial points have known 3D positions in a first object reference frame. The processor is further configured to provide a second object either marked with or displaying three or more fiducial points. The fiducial points had known 3D positions in a second object reference frame. The processor is further configured to place the first object and the second object in a fixed position such that the fiducial point positions of the first and second objects are non-planar. The processor is further configured to compute one or more calibration parameters of the second camera using computations based on images taken of the fiducials.

Abstract: A system for calibrating a surround view system of an object, such as a vehicle. The system may be implemented via calibration logic that may include software, hardware, firmware, or a combination thereof. The system may include positioning a set of markers on a plane at least partially surrounding the object. The plane may be in a field of view of a camera of the surround view system, and the camera may include a predetermined intrinsic calibration. The system may also include determining a first plurality of extrinsic parameters of the camera with respect to the set of markers. The system may repeat the positioning of the set of markers and the determination of the first plurality of extrinsic parameters for at least one other camera of the surround view system.

Abstract: Double pass back side image (BSI) sensor systems and methods are disclosed. The BSI sensor may include a substrate, pixel reflectors formed on the substrate, and pixel photodiodes fabricated in the substrate, each pixel photodiode positioned over a respective one of the pixel reflectors. Micro-lenses may be formed over each photodiode and an image filter may be formed between the photodiodes and the micro-lenses. The pixels reflectors, photodiodes, micro-lenses, and filter may be formed using CMOS fabrication.

Abstract: A resolution test device and a method thereof are provided. The resolution test method is adapted for testing a resolution of a camera device. The resolution test method includes providing a graph to the camera device, capturing a test image shot by the camera device, shifting an analyzing window a specific distance in a first direction from a static area to a first area on the test image, analyzing the first area to generate a first high-pass element, shifting the analyzing window back to the static area, shifting the analyzing window the specific distance in a second direction from the static area to a second area on the test image, analyzing the second area to generate a second high-pass element, generating a third high-pass element according to the first and the second high-pass element, and defining the resolution of the camera device according to the third high-pass element.

Abstract: Disclosed herein are a system and method for detecting tampering of a first camera in a camera network system, wherein the first camera is adapted to capture a portion of a scene in a field of view of the first camera. The method detects an occlusion of the scene in the field of view of the first camera and changes a field of view of a second camera to overlap with the field of view of the first camera. The method determines a difference between an image captured by the second camera of the changed field of view and a set of reference images relating to the field of view of the first camera. The method then detects tampering of the first camera based on the difference exceeding a predefined threshold.

Abstract: Embodiments of the present invention are directed to a method for calibrating an imaging system for analyzing a plurality of molecular species in a sample. According to one embodiment, the method comprises acquiring a plurality of images of the sample with an image acquisition device at a plurality of different wavelengths, comparing a region of interest associated with at least one of the images acquired at one respective wavelength to a region of interest associated with at least one of the images acquired at a different wavelength, and aligning the plurality of images such that the region of interest associated with at least one of the images acquired at one respective wavelength corresponds to the region of interest associated with the at least one of the images acquired at a different wavelength.

Abstract: Present embodiments contemplate systems, apparatus, and methods to calibration a multi camera device. Particularly, present embodiments contemplate initiating a calibration of multiple cameras in response to a predetermined event. A calibration records current environmental conditions along with the sensor positions of each camera when focused. By recording a plurality of calibration points under a variety of imaging and environmental conditions, a more accurate synchronization of the multiple cameras' focus positions can be achieved.

Abstract: A method for calibrating measurement instruments of an optronic system in motion, with positions P1, P2, . . . , Pi, . . . , comprises: a device for acquiring images of a scene comprising a fixed object G0; and means for tracking the fixed object G0 during the acquisition of these images; means for obtaining the positions P1, P2, . . . ; at least one instrument for measuring the distance and/or an instrument for measuring angles of orientation and/or of attitude between this measurement instrument and the fixed object G0, according to a line of sight LoS. It comprises the following steps: acquisition at instants t1, t2, . . . of at least two images, each image being acquired on the basis of different positions P1, P2, . . . of the system, the fixed object G0 being sighted in each image, but its position being unknown; acquisition at the instants t?1, t?2, . . . of measurements of distance and/or of angle; synchronization of the measurements of distance and/or of angle with the positions P1, P2, . . .

Abstract: A calibration apparatus includes a calibration target such as a checkerboard, a frame configured to hold the checkerboard in place, a rotatable socket connected at one end to the frame, a stand which is connected to another end of the rotatable socket, a height adjusting portion connected at one end to the stand, and a platform connected to another end of the stand. The checkerboard can be tilted and moved to a particular distance and orientation with respect to an image system to be calibrated by the calibration apparatus. A method of identifying outlier images in the camera parameter estimation process, by using estimated 3D positions of the checkerboard compared with ground truth values.

Abstract: A disclosed calibration apparatus is configured to receive inputs of two reference images and plural items of parallax data, these two reference images being captured by one of the imaging devices at two locations, and the parallax data being calculated using these two reference images and two corresponding images based on positions of plural feature points common to the reference image and the corresponding image for each pair thereof on a location basis, two corresponding images being captured by another of the imaging devices at these two locations; search for plural feature points common to these two reference images; calculate parallaxes and parallax changing amounts, based on the parallax data related to the respective feature points in these two reference images, for each of the searched feature points; and calculate a correction value for the parameter based on the calculated parallaxes and parallax changing amounts.

Abstract: A method of calibrating a vehicular multi-camera system includes equipping a vehicle with a plurality of cameras wherein each camera of the plurality of cameras captures image data, equipping the vehicle with an image processor, inputting image data from each of the plurality of cameras to the image processor, the image processor processing input image data in order to calibrate the vehicular multi-camera system, and wherein calibration of the vehicular multi-camera system is achieved independently of a model of the real world.

Abstract: A method for calibrating a three dimensional time-of-flight camera system mounted on a device, includes determining at a first instant a direction vector relating to an object; determining an expected direction vector and expected angle for the object to be measured at a second instant with reference to the device's assumed trajectory and optical axis of the camera; determining a current direction vector and current angle at the second instant; determining an error represented by a difference between the current direction vector and the expected direction vector; and using the error to correct the assumed direction of the main optical axis of the camera system such that said error is substantially eliminated.

Abstract: A method and system according to the disclosure facilitates subscription based access to services for image systems including an image acquisition device configured to generate image data describing a target object in a target area of the image acquisition device and an image display device configured to generate a human perceptible rendering of the target object based on the image data.

Abstract: In a method for testing an aperture of the image capturing device, a brightness value range of images is divided into a plurality of range intervals, and one of the range intervals is determined for testing the aperture. A brightness value of a current image captured by the image capturing device is calculated. A diameter of the aperture is controlled to increase or decrease to change the brightness value of the current image to be within the determined range interval, if the brightness value is not within the determined range interval. After the brightness of the current is changed to be within the determined range interval, if the brightness value of the current image has been changed during a predetermined time period, it is determined that the aperture does not work normally.

Abstract: The invention is discloses a camera lens calibration system and method thereof, which comprise a calibration platform, the calibration platform comprise a calibration structure. A calibration camera lens to be calibrated is placed on the calibration platform. An image testing module is provided for capturing a target pattern from a target pattern display through the calibration camera lens to be calibrated for getting an image pattern. The image testing module provides a contrast parameter computation for calculating the contrast parameter of image pattern and showing results on a display.

Abstract: Disclosed herein is a camera calibration apparatus. The camera calibration apparatus includes an image reception unit and a camera calibration unit. The image reception unit receives images, in which a same background is captured, from respective cameras placed at locations which are different from each other. The camera calibration unit calculates an entire matrix using canonic topographies for all parallelograms located on respective surfaces which are different from each other within each of the images, and calculates infinite hymnographies between the cameras using the entire matrix at the same time.

Abstract: A method of calibrating, compressing and decompressing image signal values of an image sensor which has a plurality of light sensitive pixels arranged in rows and columns comprises the steps of: reading out the image signal values; compressing the image signal values; and decompressing the compressed image signal values, wherein the image signal values are calibrated while using calibration data sets which include a number of calibration values for each pixel.

Abstract: The invention discloses a camera recalibration system and the method thereof. The camera recalibration system includes a first camera, which is to be recalibrated, for capturing image; an image processing unit comprising a storage unit for storing a first image and a second image, the second image being captured by the first camera; and a computing unit for measuring camera motion from the first image to the second image and computing calibration information corresponding to the camera motion; and a display unit for presenting the calibration information.

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: Methods for storing on a storage or memory medium, and retrieving, and displaying of multiple images in a registered manner, the images have been recorded concurrently. The images may comprise at least 2 video programs. A camera system for recording multiple concurrent images is also disclosed. Lenses and corresponding image sensors are calibrated to have calibrated and associated settings for recording multiple images that are substantially registered images. A registered image may be displayed on a single display. It may also be displayed on multiple displays. A camera for recording and displaying registered multiple images may be part of a mobile phone.

Abstract: A digital video camera performs a method to improve the image quality of captured images in a video image stream. The method includes capturing a first subset of images, outputting the images of the first subset of images as the video image stream, moving an image sensor and/or a lens of the digital video camera from a respective normal position to a respective test position before capturing an image of a second subset of images. The digital video camera captures a second subset of images interspersed with the first subset of images, compares image quality of the first subset of images with an image of the second subset of images, and determines if the image of the second subset of images exhibits improved image quality as compared with the image of the first subset of images. If so, an image quality improvement operation is initiated.

Abstract: Technologies that enable correcting for the non-linear relationship between scene irradiance and digital pixel intensity values of an image of the scene produced by a camera. Imaging noise is used as a signal from which a corrective function is derived. Noise distributions from the image are evaluated to determine the radiometric response function of the camera, from which an inverse response function is computed and used for calibration.

Abstract: A “Camera Calibrator” provides various techniques for recovering intrinsic camera parameters and distortion characteristics by processing a set of one or more input images. These techniques are based on extracting “Transform Invariant Low-Rank Textures” (TILT) from input images using high-dimensional convex optimization tools for matrix rank minimization and sparse signal recovery. The Camera Calibrator provides a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera even with significant lens distortion, noise, errors, partial occlusions, illumination and viewpoint change, etc. Distortions caused by the camera can then be automatically corrected or removed from images. Calibration is achieved under a wide range of practical scenarios, including using multiple images of a known pattern, multiple images of an unknown pattern, single or multiple images of multiple patterns, etc.

Abstract: A “Transform Invariant Low-Rank Texture” (TILT) Extractor, referred to as a “TILT Extractor” accurately extracts both textural and geometric information defining regions of low-rank planar patterns from 2D images of a scene, thereby enabling a large range of image processing applications. Unlike conventional feature extraction techniques that rely on point-based features, the TILT Extractor extracts texture regions from an image and derives global correlations or transformations of those regions in 3D (e.g., transformations including translation, rotation, reflection, skew, scale, etc.). These image domain transformations inherently provide information relative to an automatically determinable camera viewing direction. In other words, the TILT Extractor extracts low-rank regions and geometric correlations describing domain transforms of those regions relative to arbitrary camera viewpoints.

Abstract: The invention relates to a method for estimating a defect in an image-capturing system (1), which produces, with regard to any first image (I) representing any scene (S), a variation in the field of a characteristic of the first image, having an order of magnitude that is statistically lower than a variation in the field of said characteristic added by the scene. The method comprises: calculating, in at least a first portion of the field of the first image, a measurement (?(I)) related to said characteristic of the first image; and obtaining, in at least one second portion of the field of the first image, an estimative magnitude (?) of said defect, depending on the calculated measurement and having a variation having the same order of magnitude as the variation in the field of said characteristic of the first image produced by said defect.

Abstract: An adjustment method of the present invention includes an evaluation step of evaluating an imaging performance of an optical image that is formed via an optical system, a classification step of classifying the imaging performance evaluated in the evaluation step, a restoration step of generating a restored image of the optical image based on a classification of the imaging performance, and an adjustment step of adjusting the optical system using an adjustment unit of the optical system based on the restored image.

Abstract: A dead pixel compensating apparatus includes, inter alia, a pattern generation unit generating a programmable test pattern including data with respect to at least one dead pixel; a register array storing the test pattern; a dead pixel compensation unit receiving the test pattern stored in the register array and performing a dead pixel compensation algorithm to output compensation data; and a determination unit comparing the test pattern and the compensation data to determine whether or not the dead pixel compensation algorithm has an error, wherein a dead pixel compensation algorithm for compensating for a dead pixel of an image sensor in image data supplied from the image sensor is tested.

Abstract: A system and method are disclosed for calibrating a depth camera in a natural user interface. The system in general obtains an objective measurement of true distance between a capture device and one or more objects in a scene. The system then compares the true depth measurement to the depth measurement provided by the depth camera at one or more points and determines an error function describing an error in the depth camera measurement. The depth camera may then be recalibrated to correct for the error. The objective measurement of distance to one or more objects in a scene may be accomplished by a variety of systems and methods.

Abstract: An integrated circuit comprises a semiconductor substrate and a color image sensor array on the substrate. The color image sensor array has a first configuration of color pixels for collecting color image data, and at least one crosstalk test pattern on the substrate proximate the color image sensor array. The crosstalk test pattern includes a plurality of color sensing pixels arranged for making color crosstalk measurements. The test pattern configuration is different from the first configuration.

Abstract: A method of calibrating a brightness value measured by a camera with an amount of light received by the camera includes creating a series of measurements, wherein for each measurement the amount of light received at an image plane in the camera is controlled to be a known ratio of two opposed irradiance values: a high irradiance value and a low irradiance value. Each ratio is correlated with the brightness value measured by the camera. A function is obtained describing the correlation.

Abstract: An operator friendly camera testing module is described. The camera testing module includes at least a color shift evaluation unit and a color non-uniformity evaluation unit. The color shift evaluation unit providing a color shift metric and the color non-uniformity evaluation unit providing a color non-uniformity metric each used to characterize a digital camera.

Abstract: A method for eliminating chromatic aberration caused by an imaging environment and for testing stability of the imaging environment is disclosed, along with a chromatic aberration calibration device for use with the same method. The method serves to detect errors resulting from environmental factors and human factors and, by using a specific measurement distance and angle, eliminate chromatic aberration caused by such factors. Environmental factors include variations of the image capture device itself; the hue, lightness, and chroma of external light; and the distance and angle between the chromatic aberration calibration device and the image capture device. Human factors include operator-related variations, focusing variations, and hand tremor during measurement.

Abstract: A pattern includes a spatial configuration of color codes. Each color code is a unique configuration of colors selected from a number of basis colors. The color codes each include the same number of colors.

Abstract: Disclosed is an apparatus and associated method an apparatus and method for assessing visual acuity of an image captured by a digital security camera. The user is able to select a desired level of visual acuity based on displayed sample images and receive data regarding the hardware, settings, and placement required to reproduce the desired level of acuity. The sample images may account for acuity variations based on the type of object being imaged.

Abstract: A system and method for image-based registration between images locating (304) a feature in a pre-operative image and comparing (307) real-time images taken with a tracked scope with the pre-operative image taken of the feature to find a real-time image that closely matches the pre-operative image. A closest match real-time image is registered (308) to the pre-operative image to determine a transformation matrix between a position of the pre-operative image and a position of the real-time image provided by a tracker such that the transformation matrix permits tracking real-time image coordinates using the tracker in pre-operative image space.

Abstract: A method and apparatus of calibrating a vision based robotic system is disclosed. The apparatus includes a first camera, a second camera, a calibration block having an alignment mark, and a robotic tool having an alignment fiducial. The method includes using the first camera and the calibration block to determine a first camera center position, using the second camera and the calibration block to determine a second camera center position, using the second camera and the robotic tool to determine a robotic tool center position, and calculating a first camera to tool offset value.

Abstract: A method of determining the movement in position of the optical axis of a camera having an optical zoom lens, comprising the steps of: obtaining a test image at a predetermined level of optical zoom; applying a digital zoom to at least part of the test image, selecting a plurality of test points in the digitally zoomed test image; changing the level of optical zoom by a predetermined amount and changing the level of digital zoom; obtaining the test image at the different level of zoom; analysing the digitally zoomed test image at the different level of optical zoom; searching at least part of the digitally zoomed test image at the different level of zoom for two of said plurality of said test points; converting the position of the test points in the digitally zoomed images into corresponding positions within the optically zoomed images; and determining the amount of movement of the optical axis on the basis of the difference in position between corresponding test points within the optically zoomed images.

Abstract: A method of automatically configuring a device. The method comprises: obtaining an image of a scene comprising a machine-readable code containing configuration information for the device; processing the image to extract the configuration information; and using the configuration information to configure the device. The step of obtaining the image comprises at least one of: capturing the image using a camera; or receiving the image captured by a camera. The configuration information comprises date or time information.