Abstract: An image sensing device includes an image sensor including at least one pixel including a plurality of color channels and an image processor for processing an input image, based on brightness intensity values of the plurality of color channels. The image processor includes: a transmission map generator for generating color channel transmission maps including transmission values that are obtained by respectively converting brightness intensity values of the plurality of color channels, and generating a target transmission map including target transmission values that are obtained by multiplying transmission values among the transmission values that correspond to color channels; a white pixel detector for determining target pixels that are included in a white area, based on the target transmission map; and a white balance adjuster for adjusting white balance, based on average brightness intensity values of respective color channels.

Abstract: An image processing device includes: a measuring unit that measures a light quantity; an identification unit that identifies a region within an image-capturing range using the measured light quantity, the region having a light quantity higher than or equal to a predetermined light quantity; a setting unit that sets an image-capturing angle so that the identified region is out of the image-capturing range; and an image-capturing unit that captures an image for authentication at the image-capturing angle set by the setting unit.

Abstract: A vehicular control system includes a forward sensing sensor and a forward viewing camera disposed at a vehicle. The forward sensing sensor has an antenna array that emits a radio frequency (RF) beam at least forward of the vehicle. The antenna array include at least four antennas. An electronic control unit (ECU) includes an image processor operable to process image data captured by the forward viewing camera. The system, responsive at least in part to processing by the image processor of image data captured by the forward viewing camera, determines a weather condition at the vehicle. The system adjusts the RF beam emitted by the antenna array of the forward sensing sensor based at least in part on the determined weather condition. The system may adjust transmission power of the RF beam and/or beam pattern of the RF beam based at least in part on the determined weather condition.

Abstract: An imaging system and method for imaging a scene using a rolling shutter are described. In an embodiment, the method includes illuminating a scene with first and second illumination light; generating frame signals with a photodetector comprising a plurality of pixels arranged in a plurality of rows, wherein the frame signals are based on light received from the scene with sequentially integrated rows of pixels of the plurality of rows, and wherein a frame signal includes signals from pixels of each of the plurality of rows; and generating images of the scene based on an intensity of the frame signals and the proportion of the first illumination light and the second illumination light emitted onto the scene during the first and second frames, wherein a proportion of the first illumination light and the second illumination light in a first frame is different than in a second frame.

Abstract: An automatic test method for testing functions of a device under test is disclosed. The automatic test method includes the following operations. A sample video is generated based on first sample photos and at least one second sample photo by a processor. The sample video is displayed by the device under test and test photos are generated based on the content of the displayed sample video captured by a camera. The first sample photos are compared with the test photos to generate a display compared result. A display error message or a display pass message is generated based on the display compared result by the processor, configured to indicate that whether a display function of the device under test is dysfunctional.

Abstract: In a camera calibration apparatus (10), an acquisition unit (11) acquires a first normal vector in an image plane and a second normal vector in the image plane respectively corresponding to a first normal vector in a world coordinate space and a second normal vector in the world coordinate space which are normal vectors with respect to a reference plane in the world coordinate space and have the same length. A projective depth calculation unit (12) calculates a projective depth vector having, as vector elements, four projective depths respectively corresponding to a start point and an end point of the first normal vector in the image plane and a start point and a end point of the second normal vector in the image plane.

Abstract: A system of cameras can be used to generate a complete field of view within an edge network. For example, one camera can have a field of view where part of the view is obstructed by an object and/or by the camera's orientation. Yet another camera that is a part of the edge network can supplement the view of the first camera by providing an alternate view. The two views can be stitched together by a coordinate system such that a complete field of view can be utilized by both cameras. Additionally, where a field of view is not available by any stationary camera, the system can dispatch a mobile camera to help supplement the views.

Abstract: A method for transforming extended video data for display in virtual reality processes digital extended video data for display on a center screen and two auxiliary screens of a real extended video cinema. The method includes accessing, by a computer executing a rendering application, data that defines virtual screens including a center screen and auxiliary screens, wherein tangent lines to each of the auxiliary screens at their respective centers of area intersect with a tangent line to the center screen at its center of area at equal angles in a range of 75 to 105 degrees. The method includes preparing virtual extended video data at least in part by rendering the digital extended video on corresponding ones of the virtual screens; and saving the virtual extended video data in a computer memory. A corresponding playback method and apparatus display the processed data in virtual reality.

Abstract: Described herein are systems and methods for dynamically adjusting an aspect ratio of a video. Exemplary methods can include receiving (i) a video having an original aspect ratio and at least one user interface (UI) element configured to be selected by a user of the video and (ii) an aspect ratio of a display screen for presenting the video. The methods can include automatically determining a display area of the video to be presented based on (i) the default position of the at least one UI element in the video, (ii) an active area in the video, and/or (iii) a central area in the video, the display area having an aspect ratio equal to the aspect ratio of the display screen; and presenting the video display area in the display screen with the at least one UI element for at least the portion of the video.

Abstract: A video data processor converts input video data into sub-frame data in which one frame is composed of a plurality of sub-frames. A liquid crystal display device includes a display pixel unit in which a greater number of pixels than the number of pixels of the camera to be evaluated are arranged, and switches a display image to be captured by a camera for each frame asynchronously with the camera based on the sub-frame data to display the display image in a frame-sequential manner. The video data processor includes a sub-frame data conversion table which differs for each of a plurality of pixels corresponding to one pixel of the camera, and a sub-frame data converter configured to convert the video data into the sub-frame data for each of the plurality of pixels based on the sub-frame data conversion table.

Abstract: A calibrating device of calibrating a real-time image through a dithering process including a receiving unit, a storing unit, a displacing module, a computing module, and an outputting unit is disclosed. The receiving unit receives a real-time image from an image sensor and records a time parameter of the image. The storing unit stores a hash table that records multiple hash values used to calibrate the image. The displacing module shifts the multiple hash values in the hash table to generate an adjusted hash table. The computing module obtains a corresponding hash value from the adjusted hash table for each pixel point of the image in accordance with the coordinates of each pixel point, and respectively adds the corresponding hash value to the pixel value of each pixel point of the image to generate a calibrated image. The outputting unit outputs the calibrated image.

Abstract: A method for extrinsic calibration of cameras in a monitoring system, performed by a calibration device, includes obtaining preliminary calibration data of the cameras, obtaining a preliminary pose for an object observed by the cameras, and determining calibration data that results in an optimization of an objective function using the preliminary calibration data and the preliminary pose as starting values for the optimization. The method further includes defining the objective function with calibration data and pose as unknown variables and including a first function yielding aggregated reprojection error, and a second function yielding pose quality based on relative orientation and relative distance between 3D points of the pose. The second function enables improved accuracy of the calibration data and may be configured to yield pose quality for individual poses or motion quality for a time sequence of poses.

Abstract: An image processing device includes a memory and a color correction circuit. The memory stores first correction information that used for correcting first pixel values among a plurality of pixel values. The plurality of pixel values are received from an auto-focus image sensor including first pixels configured to detect a phase difference and second pixels configured to detect an image. The first pixel values are obtained from the first pixels and correspond to a first color. The first correction information is used for correcting the first pixel values to correspond to a second color different from the first color. The color correction circuit receives first image frame data including the plurality of pixel values from the auto-focus image sensor, loads the first correction information from the memory, and generates first corrected image frame data by correcting the first pixel values included in the first image frame data to correspond to the second color based on the first correction information.

Abstract: An under-display camera is provided, wherein an image acquisition unit including the under-display camera is configured to generate an evaluation image based on a first light, by using an imaging unit including an image sensor. The first light is output by a light emitting unit, including a light source, and passes through a display panel. The under-display camera is controlled based on a result of evaluating a performance of the under-display camera, the result being obtained by calculating a feature value based on the evaluation image, calculating a reference value based on a reference image, and comparing the feature value with the reference value, the reference image being obtained based on a second light output by the light emitting unit, the second light not passing the display panel.

Abstract: A depth information calculation method and device based on a light-field-binocular system. The method includes obtaining a far-distance disparity map based on binocular information of calibrated input images, setting respective first confidences pixels in the disparity map, and obtaining a first target confidence; detecting the first confidence of a pixel being smaller than a preset value and responsively determining a new disparity value based on light field information of the input images, determining an update depth value based on the new disparity value, and obtaining a second target confidence of the pixel; and combining the far-distance disparity map and a disparity map formed by the new disparity value on a same unit into an index map, combining the first confidence and the first target confidence into a confidence map, optimizing the index and confidence maps to obtain a final disparity map, which is converted to a final depth map.

Abstract: A stereoscopic visualization system using shape from shading algorithm is an image conversion device connected between a monoscopic endoscope and a 3D monitor. The system applies the algorithm which generates a depth map for a 2D image of video frames. The algorithm first calculates a direction of a light source for the 2D image. Based upon the information of light distribution and shading for the 2D image, the depth map is generated. The depth map is used to calculate another view of the original 2D image by depth image based rendering algorithm in generation of stereoscopic images. After the new view is rendered, the stereoscopic visualization system also needs to convert the display format of the stereoscopic images for different kinds of 3D displays. Based on this method, it can replace the whole monoscopic endoscope with a stereo-endoscope system and no modification is required for the monoscopic endoscope.

Abstract: The invention discloses a method and system for adjusting white balance, and a display, and belongs to the technical field of display. The method for adjusting the white balance is applied to the display, and comprises the following steps: identifying image information of a currently played frame image to be adjusted; obtaining a matched target color temperature value according to the image information; and adjusting a white balance parameter of the frame image to be adjusted according to the target color temperature value.

Abstract: A display apparatus receives an image signal, executes a muting process on the image signal depending on a fluctuation in a framerate of the image signal, acquires information attached to the image signal, and determines whether or not the framerate of the image signal is fluctuating based on the information, and execute the muting process, or not execute the muting process, depending on the determination result. The display apparatus does not execute the muting process when the framerate of the image signal is determined to be fluctuating.

Abstract: An image stabilization control apparatus includes an extraction unit configured to extract signals in a plurality of frequency bands from a signal output from a first shake detection sensor detecting a translation component of shake, and extract signals in the plurality of frequency bands from a signal output from a second shake detection sensor detect detecting a rotation component of shake; a first calculation unit configured to calculate a rotational radius of shake for each of the plurality of frequency bands, using the signal from the first shake detection sensor and the signal from the second shake detection sensor; and a second calculation unit configured to calculate a parallel shake amount for each of the plurality of frequency bands, using the signal output from the second shake detection sensor and the rotational radius.

Abstract: The present technology relates to an image processing apparatus, an image processing method, and a program that allow an improvement in measurement accuracy by taking into account degradation occurring during projection and degradation occurring during imaging. An image processing apparatus according to an aspect of the present technology performs, on a test pattern image representing a predetermined test pattern, correction according to an imaging degradation model obtained by modeling degradation occurring during capturing of the test pattern image projected on a screen, and correction according to a projection degradation model obtained by modeling degradation occurring during projection of the test pattern image. The present technology can be applied to an image processing apparatus that controls projection by a projector.