A computer-implemented method for testing a modulation transfer function or spatial frequency response of an imaging system includes, on a computing device, generating a plurality of accumulation cells running along an accumulation line. A boundary delineation divides a first segment of a digital test image captured by the imaging system from a second segment, and the plurality of accumulation cells collectively comprise a one-dimensional accumulation array. For each of the accumulation cells, a projection ray is generated that extends through the accumulation cell and through the digital test image Each accumulation cell is loaded with an accumulated pixel value based on pixel values sampled from each of a plurality of sampling locations along the projection ray. The modulation transfer function or spatial frequency response of the imaging system is derived from the one-dimensional accumulation array.

A method of calibrating a display system, the method comprising: displaying a test pattern including a plurality of blobs; detecting one or more base blobs in the displayed test pattern; identifying, based on the detected base blobs, patches of the test pattern, wherein each patch comprises one of the base blobs and a subset of additional blobs detected in the displayed test pattern; determining a patch location for at least one patch within the test pattern based on the subset of the additional blobs in the patch to determine a blob location for at least one detected blob; determining a calibration parameter for the display system based on the blob location and a detected attribute of the at least one detected blob; and calibrating the projector using the calibration parameter.

An imaging device includes a light separator that separates light into light bands, and imaging elements that each receives one of the light bands and generates a corresponding signal. Each of the imaging elements has a pixel size of at most 2.5 μm by 2.5 μm. A registration error among the imaging elements is equal to or less than a threshold determined according to the pixel size.

Provided are a light-emitting apparatus that can suppress manufacturing cost to a low level and perform light emission with high uniformity using a simple configuration, a calibration coefficient calculation method using the light-emitting apparatus, and a method for calibrating a captured image of an inspection target object. A plurality of light-emitting diodes arranged at equal intervals on the circumference of a virtual circle, and a milky white-colored emission window, which is provided on a top surface portion separated from the light-emitting diodes, has an outer edge that is smaller than the circumference on which the light-emitting diodes are arranged, and allows light of the light-emitting diodes to pass therethrough, are included. The diameter of the virtual circle on which the light-emitting diodes are arranged and a separation distance between the light-emitting diodes and the emission window are set to predetermined distances.

An automatic robot control system and methods relating thereto are described. These systems include components such as a touch screen panel (“TSP”) robot controller for controlling a TSP robot, a camera robot controller for controlling a camera robot and an audio robot controller for controlling an audio robot. The TSP robot operates inside a TSP testing subsystem, the camera robot operates inside a camera testing subsystem, and the audio robot operates inside an audio testing subsystem. Inside the audio testing subsystem, an audio signals measurement system, using a bi-directional coupling, controls the operation of the audio robot controller. In this control scheme, a test application controller is designed to control the different types of subsystem robots. Methods relating to TSP, camera, and audio robots, and their controllers, taken individually or in combination, for automatic testing of device functionalities are also described.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

Disclosed herein is a system and method directed to object tracking and metric generation using a plurality of cameras. The system includes the plurality of cameras disposed around a playing surface in a mirrored configuration, where the plurality of cameras are time-synchronized. The system further includes logic that, when executed by a processor, causes performance of operations including: obtaining a sequence of images from the plurality of cameras, continuously detecting an object in image pairs at successive points in time, wherein each image pair corresponds to a single point in time, continuously determining a location of the object within the playing space through triangulation of the object within each image pair, detecting a player and the object within each image of a subset of image pairs of the sequence of images, identifying a sequence of interactions between the object and the player, and storing the sequence of interactions.

An image capturing control apparatus includes a detection unit configured to detect a specific object area in an image captured by an image capturing apparatus, an acquisition unit configured to acquire a first input/output characteristic of the image capturing apparatus, a conversion unit configured to convert the image by acquiring a second input/output characteristic that is an inverse input/output characteristic to the first input/output characteristic, and by applying the second input/output characteristic to the image, and a control unit configured to control exposure of the image capturing apparatus based on a luminance value of the specific object area in the converted image.

In one example, an imaging device including a plurality of pixel circuits, a first control line, a second control line, a first voltage supply line, a second voltage supply line, a first light-receiving element, and a diagnosis unit is disclosed. The pixel circuits each include a first terminal, a second terminal, a third terminal, an accumulation unit, a first transistor, a second transistor, and an output unit. The first transistor is couples the third terminal to the accumulation unit on the basis of a voltage of the first terminal. The second transistor supplies a predetermined voltage to the accumulation unit on the basis of a voltage of the second terminal. The output unit outputs a signal corresponding to a voltage in the accumulation unit.

An image capture device includes an image capture module and a base module. The image capture module is releasably connectable to the base module. The image capture module includes an integrated image sensor and optical component for capturing image data. The base module includes a processor. The processor is configured and the base module is calibrated based on identification data provided by the image capture module when releasably connected to the base module. The image information and identification data may be wirelessly transferred from the image capture module to the base module.