Abstract: Embodiments provide for automated detection of a calibration object within a recorded image. In some embodiments, a system receives an original image from a camera, wherein the original image includes at least a portion of a calibration chart. The system further derives a working image from the original image. The system further determines regions in the working image, wherein each region comprises a group of pixels having values within a predetermined criterion. The system further analyzes two or more of the regions to identify a candidate calibration chart in the working image. The system further identifies at least one region within the candidate calibration chart as a patch. The system further predicts a location of one or more additional patches based on at least the identified patch.

Abstract: An evaluation method for an image projection system in which a first projector, a second projector, and a third projector perform stack projection on a screen, the method including acquiring a first image generated by capturing the screen at a first timing, acquiring a second image generated by capturing the screen at a second timing, causing the projection state of the first projector to differ from the projection states of the second projector and the third projector at the first timing, and evaluating whether or not the first projector needs to be adjusted based on the first image and the second image.

Abstract: Systems and methods for synchronizing video generated by a camera with media content generated by a media source external to the camera. A calibration procedure is performed in which a time delay is determined that includes a camera delay associated with the camera. A display device displays a sequence of images comprising a first image displayed for a first time period and a second image displayed for a second time period. The camera captures a plurality of captured images capturing display of the sequence of images and a transmitter device coupled to the camera transmits the captured images to a hub. The hub determines a target image of the captured images corresponding to display of the second image. The time delay is determined based on a difference between a time associated with the target image and a time associated with the second image.

Abstract: A projection image automatic correction method and system based on binocular vision. The method includes: acquiring a depth map of a projection image on a projection plane; calculating a first transformation relationship between a source image and the projection image; acquiring a distortion image according to the depth map; acquiring a correction image after correcting the distortion image; calculating a second transformation relationship between the distortion image and the correction image; acquiring a correction relationship between the source image and the correction image according to the first transformation relationship and the second transformation relationship; and correcting the projection image according to the correction relationship. This disclosure is configured to realize the efficient automatic correction of the projection image without being limited by the projection area, and the correction flexibility is high.

Abstract: A vehicular display system shows a view image including a blind area with superior visibility. Embodiments include an imaging unit that captures an image of a surrounding area of a vehicle; an image processing unit that converts the image into a view image of the surrounding area of the vehicle seen from inside a cabin; and a display unit. The image processing unit generates a rear-view image acquired when an area behind the vehicle is seen from a first virtual viewpoint located in the cabin, and a front-view image acquired when an area in front of the vehicle is seen from a second virtual viewpoint located behind the first virtual viewpoint in the cabin. The display unit shows the rear-view image when the vehicle travels backward, the front-view image when the vehicle travels forward, and shows both of the view images at substantially the same angle of view.

Abstract: The present disclosure relates to an image processing apparatus and method that enable suppression of a reduction in subjective image quality. Image processing is performed on each of a plurality of frame images before projection. The image processing suppresses an influence of superimposition of the plurality of frame images in a projection image in projecting each of the plurality of frame images cyclically using a corresponding one of a plurality of projection sections. The plurality of frame images is included in a moving image. The present disclosure can be applied to, for example, an image processing apparatus, an image projection apparatus, a control apparatus, an information processing apparatus, an image projection system, an image processing method, a program, or the like.

Abstract: An electronic device includes a frequency analyzing circuit and a color difference calculating circuit. The frequency analyzing circuit receives an image signal including information about a subject, may convert the image signal into first color data which are based on a first color domain, converts the first color data into frequency data which are based on a frequency domain, and applies frequency weights corresponding to the frequency data to the first color data to generate processed color data. The color difference calculating circuit calculates color difference values for evaluating a color stain generated by the image signal, based on the processed color data. The frequency weights are selected based on sensitivity information of an observer according to a frequency change of the frequency data.

Abstract: Optical center calibration may include obtaining one or more parameters for optical center calibration, obtaining an input image captured by an image capture device using a lens, and determining a calibration circle using the parameters and the input image. Determining the calibration circle may include extracting rays using the input image, estimating contours using the input image and the rays, and estimating the calibration circle using the input image and the contours. The calibration may be iteratively improved by repeating calibration based on the input image and a previous iteration of optical center calibration.

Abstract: The invention relates to a calibration unit (2) for a monitoring device (1), wherein the monitoring device (1) is designed as man-overboard monitoring of a ship section (4), wherein the monitoring device has at least one camera (5a, 5b) for video-monitoring the ship section (4) and for providing video data, wherein the camera (5a, 5b) has at least one intrinsic calibration parameter (11) and at least one extrinsic calibration parameter (12), wherein the video data is provided to the calibration unit (2), comprising an input module (9) for a user to input one or more calibration elements (10) and comprising an evaluation module (8), wherein the evaluation module (8) is designed to determine the unknown calibration parameters (11, 12) based on the calibration elements (10), in particular their orientation and/or extension.

Abstract: Methods and systems are provided for preserving dynamic range in images. In some aspects, a process can include steps for receiving, at an autonomous vehicle system, image data from an image sensor, generating, by the autonomous vehicle system, a high dynamic range (HDR) output by performing HDR processing on the image data from the image sensor, generating, by the autonomous vehicle system, a least significant bit (LSB) output by performing LSB processing on the image data from the image sensor, and generating, by the autonomous vehicle system, an 8-bit output by performing a buffer process on the HDR output and the LSB output of the image sensor.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive pixel data representing respective fields of view of two or more cameras arranged to obtain a predetermined field of view, where the respective fields of view of each adjacent pair of the two or more cameras overlap. The processor may be configured to process the pixel data arranged as video frames and perform a fixed pattern calibration for facilitating multi-view stitching. The fixed pattern calibration may comprise applying a pose calibration process to the video frames. The pose calibration process generally uses (i) intrinsic parameters, a respective translate vector, a respective rotation matrix, and distortion parameters for each lens of the two or more cameras and (ii) a calibration board to obtain configuration parameters for the respective fields of view of the two or more cameras.

Abstract: A computer-implemented method for focal length validation may include receiving, by a computing system, initial image data for an optical target from a camera. The method may also include determining a distortion parameter associated with the camera, based on the initial image data. The method may also include receiving, by the computing system, a first image of the optical target, wherein the first image is associated with a first position of the camera. The method may also include receiving, by the computing system, a second image of the optical target, wherein the second image is associated with a second position of the camera. The method may also include determining an estimated displacement between the first position of the camera and the second position of the camera based on the first image and the second image. The method may further include determining a focal length based on the estimated displacement and a measured displacement of the camera between the first position and the second position.

Abstract: A ground line monitoring system includes a camera mounted in a first automobile vehicle. A waveguide directs a light into the camera having a first in-coupling grating receiving a first light imaging data and passing the first light imaging data as a first frequency of the light and a second in-coupling grating receiving a second light imaging data and passing the second light imaging data as a second frequency of the light. A color filter wheel receives the first frequency of the light and the second frequency of the light. An image sensor of the camera receives the first frequency of the light and the second frequency of the light at different times due to rotation of the color filter wheel. A controller performs a calculation using directions and angles of the first frequency of the light and the second frequency of the light to correct a camera image.

Abstract: Correction performance is improved regarding a synthetic blur in which a plurality of blur characteristics is synthesized, for example, a focus blur that occurs in a superimposed projection image, or the like. An image processing device according to the present technology includes: a correction unit that obtains a plurality of blur-corrected images by performing blur correction processing on an input image regarding a focus blur that occurs in a projection image by an image projection device, by using a filter coefficient for blur correction corresponding to each of a plurality of blur characteristics, the filter each being obtained on the basis of the plurality of blur characteristics; and an image output unit that individually outputs the plurality of blur-corrected images obtained by the correction unit.

Abstract: Camera compensation methods and systems that compensate for misalignment of sensors/camera in stereoscopic camera systems. The compensation includes identifying a pitch angle offset between a first camera and a second camera, determining misalignment of the first and second cameras from the identified pitch angle offset, determining a relative compensation delay responsive to the determined misalignment, introducing the relative compensation delay to image streams produced by the cameras, and producing a stereoscopic image on a display from the first and second image streams with the introduced delay.

Abstract: A computer implemented method for displaying data in the form of a heatmap comprises generating and displaying a first heatmap based on a first dataset of video surveillance data, receiving a user input selecting an area of the first heatmap, generating and displaying a second heatmap based on a second dataset of video surveillance data, wherein the second dataset is a subset of the first dataset which is limited only based on the area selected by the user, and wherein the step of generating and displaying the second heatmap comprises recalibrating a colour range based on the second dataset.

Abstract: Three-dimensional image calibration and presentation for eyewear including a pair of image capture devices is described. Calibration and presentation includes obtaining a calibration offset to accommodate flexure in the support structure for the eyewear, adjusting a three-dimensional rendering offset by the obtained calibration offset, and presenting the stereoscopic images using the three-dimension rendering offset.

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing a video frame, and relates to the field of computer vision technology. The method may include: acquiring a plurality of candidate first-order radial distortion parameters preset for a to-be-processed video frame, and acquiring a specified value of a specified radial distortion parameter; performing radial distortion correction on the to-be-processed video frame to obtain a first initial corrected video frame; selecting a first initial corrected video frame in which a local region except for a center region after distortion correction includes a largest number of straight line segments; and determining a candidate first-order radial distortion parameter corresponding to the selected first initial corrected video frame for use as a target first-order radial distortion parameter of the to-be-processed video frame.

Abstract: A method for calibrating a photodetector array supplying a video stream includes: a determination step, wherein an offset table is determined for each current image of the video stream based on at least two corrections from among the following: a first correction from a comparison of the current image to a corresponding predetermined reference table; a second correction from a calculation of a column error of the current image; and a third correction from a high-pass temporal filtering of the video stream; and a calculation step, wherein a current value of an offset table, equal to a sum between a previous value of the offset table and a weighted sum of at least two corrections, is calculated, with each coefficient of the offset table being associated with a respective photodetector of the array.

Abstract: An image capturing apparatus comprising an image capturing unit , a synchronization control unit performing synchronization with the second synchronization signal such that the captured image is output to an external devise in synchronism with the second synchronization signal; a determination unit determining whether the synchronization is stable; and a mode control unit switching an operation mode between a first operation mode and a second operation mode, in response to an instruction for switching the operation mode, wherein in a case where an instruction for switching the operation mode from the second operation mode to the first operation mode has been input and it is determined that the synchronization is stable, the mode control unit switches the operation mode from the second operation mode to the first operation mode.