Provided are systems and methods used for calibration of camera/sensor systems. A calibration target system can include at least one calibration target element and at least one black body source. The calibration target element can include an outer perimeter, a modular transfer function (MTF) testing area, a through hole extending through the at least one calibration target, and a plurality of slots extending through the at least one calibration target. The MTF testing area can comprise a light-absorbing surface and at least one slant edge that is non-orthogonal with respect to any side of the outer perimeter. The black body source can be positioned behind the at least one calibration target elements and configured to emit black body radiation such that the black body radiation passes through the through hole and the plurality of slots.

A method includes capturing, by a camera disposed behind a display panel of an electronic device, an original image through a semi-transparent pixel region of the display panel. The original image is associated with one or more predetermined point spread functions (PSFs) and includes one or more blurring artifacts. The method further includes estimating an optimal regularization parameter for the original image based on the one or more predetermined PSFs and the one or more blurring artifacts, applying a self-regularizing inverse filter, such as a fast self-regularizing inverse filter, to the original image based on the estimated regularization parameter, and generating a deblurred image based on the self-regularizing inverse filter. Generating the deblurred image includes reconstructing the original image utilizing the self-regularizing inverse filter to remove the one or more blurring artifacts.

A method includes capturing, by a camera disposed behind a display panel of an electronic device, an original image through a semi-transparent pixel region of the display panel. The original image is associated with one or more predetermined point spread functions (PSFs) and includes one or more blurring artifacts. The method further includes estimating an optimal regularization parameter for the original image based on the one or more predetermined PSFs and the one or more blurring artifacts, applying a self-regularizing inverse filter, such as a fast self-regularizing inverse filter, to the original image based on the estimated regularization parameter, and generating a deblurred image based on the self-regularizing inverse filter. Generating the deblurred image includes reconstructing the original image utilizing the self-regularizing inverse filter to remove the one or more blurring artifacts.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.

Systems and methods are provided for generating a rear view image display for a motor vehicle. A rear view system includes an optical sensor disposed at the motor vehicle and configured to capture image data, a computational unit coupled to the optical sensor by a cable connection and configured to execute program instructions stored on a computer-readable medium to modify the image data for presentation, and a display device coupled to the computational unit and configured to receive the modified image data from the computational unit and display the modified image data to a driver of the motor vehicle. The computational unit is further configured to receive software calibration to optimize modification of the image data.

Systems and methods are provided for generating a rear view image display for a motor vehicle. A rear view system includes an optical sensor disposed at the motor vehicle and configured to capture image data, a computational unit coupled to the optical sensor by a cable connection and configured to execute program instructions stored on a computer-readable medium to modify the image data for presentation, and a display device coupled to the computational unit and configured to receive the modified image data from the computational unit and display the modified image data to a driver of the motor vehicle. The computational unit is further configured to receive software calibration to optimize modification of the image data.

An optical profiling system characterizes distortion of a head-mounted display (HMD) under test. The optical profiling system includes a camera assembly and a controller. The controller provides presenting instructions that cause the HMD under test to present test patterns and also provides imaging instructions that cause the camera assembly to capture images of the test patterns presented by the HMD under test. The camera assembly includes one or more characterization cameras. A characterization camera is configured to mimic movement of a human eye and is positioned in an eye box region of the HMD under test. Using the images captured by the camera assembly, the controller measures distortion of the HMD under test. The controller may generate a report charactering the HMD under test based on the measured distortion.

Methods and apparatus for determining poses of objects acquire plural images of the objects from different points of view. The images may be obtained by plural cameras arranged in a planar array. Each image may be processed to identify features such as contours of objects. The images may be projected onto different depth planes to yield depth plane images. The depth plane images for each depth plane may be compared to identify features lying in the depth plane. A pattern matching algorithm may be performed on the features lying in the depth plane to determine the poses of one or more of the objects. The described apparatus and methods may be applied in bin-picking and other applications.

A method and apparatus for capturing digital video includes displaying a preview of a field of view of the imaging device in a user interface of the imaging device. A sequence of images is captured. A main subject and a background in the sequence of images is determined, wherein the main subject is different than the background. A sequence of modified images for use in a final video is obtained, wherein each modified image is obtained by combining two or more images of the sequence of images such that the main subject in the modified image is blur free and the background is blurred. The sequence of modified images is combined to obtain the final video, which is stored in a memory of the imaging device, and displayed in the user interface.