Disclosed herein is a method for testing a field of view. The method includes arranging an image acquisition apparatus at a predetermined observation position of an image output device, and arranging a grid line apparatus at a predetermined distance in front of the image acquisition apparatus. The method further includes controlling the image output device to output a test pattern; moving the grid line apparatus, and keeping the distance between the grid line apparatus and the image acquisition apparatus unchanged, such that a centerline of the grid pattern coincides with a centerline of the test pattern. Additionally, included in the method is capturing an image of the grid pattern and the test pattern by the image acquisition apparatus; and determining a field of view of the image output device according to a relationship between the test pattern and the grid pattern in the captured image.

The present disclosure provides a laser projection component and a detection method thereof, and an electronic device. The laser projection component is applicable to the depth camera component and is configured to project a laser pattern. The detection method includes: obtaining the laser pattern; determining whether a preset identifier exists in the laser pattern; and determining that the depth camera component is abnormal when the preset identifier does not exist in the laser pattern.

A method for handling a fixed bound calibration data in an electronic device includes: determining, by the electronic device, a calibration data from a calibration setup; and generating and encoding, by the electronic device, a fixed bound calibration data based on the determined calibration data.

An image processing device includes a rotation processor and an image processor. The rotation processor receives an input image and generates a temporary image according to the input image. The image processor is coupled to the rotation processor and outputs a processed image according to the temporary image, wherein the image processor has a predetermined image processing width, a width of the input image is larger than the predetermined image processing width, and a width of the temporary image is less than the predetermined image processing width.

An illuminated sensor target includes a light source. Actuating the light source illuminates the sensor target. The illuminated sensor target is recognized by one or more sensors of a vehicle during a calibration process, and is used to calibrate the one or more sensors of the vehicle during the calibration process. The illuminated sensor target is illuminated during at least part of the calibration process, which may involve rotation of the vehicle about a turntable, with the illuminated sensor target positioned within a range of the turntable along with other sensors targets, which may also be illuminated.

Provided is a lens assembly, which comprises: a first optical lens module, comprising a first carrier and at least one first optical lens received in the first carrier; and a second optical lens module, comprising a second carrier, at least one second optical lens received in the second carrier, and a bearing portion connected to the second carrier. A lower end portion of the first carrier extends to the bearing portion, so as to constrain the relative positions of the first optical lens module and the second optical lens module.

In a method of operating an analog-to-digital converter, a gain error and an offset error that are associated with a digital code generated from the analog-to-digital converter are obtained by performing a first analog-to-digital conversion on a first input analog signal. The gain error and the offset error are stored. A calibration digital code is generated by performing a second analog-to-digital conversion on a second input analog signal based on the gain error and the offset error.

Methods and systems of eliminating corrupting influences caused by the propagation medium and the data capture devices themselves from useful image features or characteristics such as the degree of symmetry are disclosed. The method includes the steps of obtaining image-plane data using a plurality of data capture devices, wherein the image-plane data is a combined visibility from each of the data capture devices, measuring the closure phase geometrically in the image-plane directly from the image-plane, removing the corruptions from the image features based on the measured closure phase to remove the non-ideal nature of the measurement process, and outputting the uncorrupted morphological features of the target object in the image. The method relies on the Shape-Orientation-Size conservation principle for images produced from three visibilities made from a closed triad of data capture devices. The method includes the idea that true image of the object can be reconstructed from the three interferometer elements, independent of element-based calibration.

A non-uniformity correction (NUC) calibration method comprises obtaining image data for a plurality of images with an image sensor, wherein each image in the plurality of images is obtained at a different respective global pixel gain setting and global expose in the image sensor; and using the image data for non-uniformity correction calibration to compute pixel NUC values for the pixels in the image sensor. The method can further include storing the pixel NUC values and obtaining further image data corrected by the stored pixel NUC values. In embodiments, the method can include moving a platform based on the further image data. In certain embodiments, the platform can be a guided munition.

A studio display environment and/or applications thereof are provided, wherein a display (e.g. LED display) is used onto which images or video are being shown, that are recorded by one or more cameras. The invention further relates to methods and systems for improved camera view in such studio display environment and/or applications.