Systems, methods, and computer-readable media are disclosed for improved camera color calibration. An example method may involve capturing a first wavelength emitted by a first type of traffic light. The example method may also involve determining, based on the first wavelength, a first color value associated with the wavelength emitted by the first type of traffic light. The example method may also involve capturing, by a first camera, a first image, video, or real-time feed of a first portion of a test target, the first portion of the test target including a first light color that is based on the first color value. The example method may also involve determining, based on the first image, video, or real-time feed of the first portion of a test target, a second color value output by the camera. The example method may also involve determining, based on a comparison between the first color value and the second color value, that a difference exists between the first color value and the second color value. The example method may also involve adjusting, based on the detection that a difference exists between the first color value and the second color value, at least one of: a property of the camera or signal processing associated with the camera.

A projector includes a projection section, a spectral imaging section, and a control section, wherein the control section makes the projection section project an adjusting image corresponding to a color and a gray level of an image to be projected by the projection section while changing the color and the gray level to a first color and a first gray level, the first color and a second gray level, a second color and a third gray level, and the second color and a fourth gray level, sets a measurement condition corresponding to the color to the spectral imaging section, and makes the spectral imaging section take the adjusting images projected by the projection section to obtain spectral imaging data.

A projector includes a projection section, a spectral imaging section, and a control section, wherein the control section makes the projection section project an adjusting image corresponding to a color and a gray level of an image to be projected by the projection section while changing the color and the gray level to a first color and a first gray level, the first color and a second gray level, a second color and a third gray level, and the second color and a fourth gray level, sets a measurement condition corresponding to the color to the spectral imaging section, and makes the spectral imaging section take the adjusting images projected by the projection section to obtain spectral imaging data.

In an arrangement where a physical phenomenon affects a digital video camera and is measured or sensed by a sensor, a delay of a digital video stream from the digital video camera is estimated. The digital video stream is processed by a video processor for producing a signal that represents the changing over time of the effect of the physical phenomenon on the digital video camera. The signal is then compared with the sensor output signal, such as by using cross-correlation or cross-convolution, for estimating the time delay between the compared signals. The estimated time delay may be used for synchronizing when combining additional varied data to the digital video stream for low-error time alignment. The physical phenomenon may be based on mechanical position or motion, such as pitch, yaw, or roll. The time delay estimating may be performed once, upon user control, periodically, or continuously.

A method and instructions for operating an image quality system can comprise: obtaining an original image; sensing a subsequent image with an image-capturing device, comprising: testing a focus of the subsequent image with the image-capturing device implementing a blur test, informing a user to retake the subsequent image based on the subsequent image failing the blur test, evaluating a histogram for the subsequent image, informing the user to retake the subsequent image based on the histogram including a value exceeding a saturation threshold, and informing the user to retake the subsequent image based on the histogram including the value exceeding an underexposure threshold; compressing the histogram with an adjustment curve; and color matching the subsequent image to the original image.

The present description relates relate to recalibration of a sensor device for performance capture, by detecting a miscalibration problem with sensor device and assessment of the problem. A recalibration system includes sensor devices initially calibrated at a recording site. A recording site change occurs and afterwards, a failure to match virtual rays projected from one sensor device with virtual rays projected from the active marker is detected. In response to determining the failure, the active marker is signaled to emit a unique display of light. The failure of the rays to match is assessed based on whether sensor devices capture the unique display of light. Three-dimensional (3-D) coordinates of an active marker is reconstructed from marker data of the calibrated sensor devices. A problematic sensor device is recalibrated based on the assessment, using the 3-D coordinates of the active marker from marker data of the remaining calibrated sensor devices, without stopping the recording.

A variety of device interfaces may be connected to a test platform in a fast and efficient manner using multi-pin cables and connectors to support high-volume processing of devices to be tested. The multi-pin cables and connectors may aggregate a plurality of specific device interfaces into a single cable that can be connected via a connector to a test shelf and via a connector to a test platform, reducing the time to setup for device testing and facilitating high-volume processing of devices to be tested.

A variety of device interfaces may be connected to a test platform in a fast and efficient manner using multi-pin cables and connectors to support high-volume processing of devices to be tested. The multi-pin cables and connectors may aggregate a plurality of specific device interfaces into a single cable that can be connected via a connector to a test shelf and via a connector to a test platform, reducing the time to setup for device testing and facilitating high-volume processing of devices to be tested.

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.

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.