Abstract: Described are various embodiments of a binocular light field display, adjusted pixel rendering method therefor, and vision correction system and method using same. In one embodiment, a system is described to produce a perception adjustment of an input image comprising a pupil tracking device, a digital light field display operable to define spatially periodically recurring view zones within which to produce a perceptively adjusted version of the input image, and a digital data processor operable on pixel data to produce the perceptively adjusted version of the input image within the zones while actively translating a boundary of these view zones so to reduce overlap of the boundary with each of respective pupil locations.

Abstract: An electronic device includes a display device configured to output an image, a parallax optical element configured to provide a light corresponding to the image output from the display device, to an eyebox of a user, and a processor configured to adjust a parameter of the parallax optical element based on a change of a look down angle (LDA) between the eyebox and a virtual image plane formed by the display device and the parallax optical element.

Abstract: Examples are disclosed that relate to calibration of a stereoscopic display system of an HMD via an optical calibration system comprising a waveguide combiner. One example provides an HMD device comprising a first image projector and a second image projector configured to project a stereoscopic image pair, and an optical calibration system. The optical calibration system comprises a first optical path indicative of an alignment of the first image projector, a second optical path indicative of an alignment of the second image projector, a waveguide combiner in which the first and second optical paths combine into a shared optical path, and one or more boresight sensors configured to detect calibration image light traveling along one or more of the first optical or the second optical path.

Abstract: A versatile video coding (VVC) method includes obtaining a plurality of video sources; encoding the plurality of video sources into a bitstream including a plurality of independent layers corresponding to the plurality of video sources; generating signaling information on the plurality of independent layers and integrating the signaling information with the bitstream; and transferring the bitstream for decoding processing, wherein the signaling information is to be used in the decoding process to enable a single decoder instance to decode the plurality of independent layers similar to a single-layer bitstream. The signaling information includes at least a video parameter set (VPS), and the VPS includes a flag inbl_one_pic_per_poc_flag equal to 1, which specifies that the bitstream contains independent layers and there is one and only one coded picture with a particular picture order count (POC) value in a same coded video sequence (CVS) among all layers.

Abstract: A versatile camera device to be mounted to a pole, includes a cylindrical portion, a leg portion, and a light-transmitting portion provided in a axial middle portion of the cylindrical portion toward the other end and forming a part of the cylindrical portion. Further included are a reflector which receives light entering from the light-transmitting portion and an image pickup camera which receives light reflected from the reflector at an image pickup unit. The device further includes a control substrate including a transmitter which generates radio waves including an image signal from the image pickup camera and a controller, a battery and a lid.

Abstract: A method of generating an image signal from a plurality of images of a scene performs iterations that comprise generating (505) predicted images for a candidate set of images from a set of (previously) included images. A set of selected images is selected (509) from the set of candidate images in response to a prediction quality. For each selected image a subset of pixels is determined (511) in response to pixel prediction qualities for the pixels of the image, and a set of partial images corresponding to the selected images is generated (513) by selecting (511) a subset of pixels. The selected image is deleted from the candidate set and the partial image is added to the included set. The approach may provide a low complexity and low resource selection of image data representing a scene.

Abstract: The present specification discloses a method of decoding an image. The method of decoding an image according to the method includes: obtaining transform skip information of a current block from a bitstream; obtaining multiple transform selection information of the current block on the basis of the transform skip information from the bitstream; and performing inverse transform on the current block on the basis of the multiple transform selection information, wherein the multiple transform selection information is used to set each of a horizontal transform type and a vertical transform type.

Abstract: A multi-matching sensing system applied to a vehicle includes a rotation drum to which first, second and third pop-up modules pulled by electromagnetic attraction according to the supply of current and pushed by a spring restoring force of the spring are fixed to have angle relationship, a rotation device configured to rotate the rotation drum, and a multi-matching body holder having a connector connected to a wire harness in which a power line is formed with a transmission/reception circuit connected to each of the first, second and third pop-up modules and the rotation device.

Abstract: Various embodiments relate to sensing defects associated with a window. Furthermore, various embodiments relate to performing image processing to produce a corrected image of a scene based at least partly on data corresponding to the detected defects. In some examples, one or more lighting modules may be used to illuminate the window to facilitate detection of the defects by one or more sensor devices.

Abstract: Disclosed is a video signal processing method and device that encodes or decodes a video signal. In particular, the video signal processing method may comprise the steps of: parsing a first syntax element indicating whether a merge mode is applied to a current block; when the merge mode is applied to the current block, determining whether to parse a second syntax element on the basis of a first predefined condition, wherein the second syntax element indicates whether a first mode or a second mode is applied to the current block; when the first mode and the second mode are not applied to the current block, determining whether to parse a third syntax element on the basis of a second predefined condition; and determining a mode applied to the current block on the basis of the second syntax element or the third syntax element.

Abstract: Overlapped block disparity estimation and compensation is described. Compensating for images with overlapped block disparity compensation (OBDC) involves determining if OBDC is enabled in a video bit stream, and determining if OBDC is enabled for one or more macroblocks that neighbor a first macroblock within the video bit stream. The neighboring macroblocks may be transform coded. If OBDC is enabled in the video bit stream and for the one or more neighboring macroblocks, predictions may be made for a region of the first macroblock that has an edge adjacent with the neighboring macroblocks. OBDC can be causally applied. Disparity compensation parameters or modes may be shared amongst views or layers. A variety of predictions may be used with causally-applied OBDC.

Abstract: One example method includes obtaining, from an endoscope and between first and second video frames of a real-time video having a frame rate, a preliminary image of a scene during a surgical procedure, the first image comprising a plurality of pixels, wherein the first and second video frames are consecutive video frames in the real-time video; determining, for each pixel of the plurality of pixels, a depth within the scene; determining first image capture parameters for the scene based on a scene illumination setting and a first set of pixels within a first range of depths in the scene; capturing, between the first and second consecutive output video frames, a first image using the first image capture parameters; determining an illumination correction for a second set of pixels at a second range of depths within the scene; capturing, between the first and second consecutive output video frames, a second image using the illumination correction; generating a composite image based on the first and second images;

Abstract: A system for holding a camera for acquiring images of preparations includes a rail that can be mounted above a preparation surface. A camera carrier couples a camera with the rail such that the camera is movable relative to the rail and such that the camera can acquire images of preparations on the preparation surface.

Abstract: Example implementations are provided for an arrangement of co-aligned rotating sensors. One example device includes a light detection and ranging (LIDAR) transmitter that emits light pulses toward a scene according to a pointing direction of the device. The device also includes a LIDAR receiver that detects reflections of the emitted light pulses reflecting from the scene. The device also includes an image sensor that captures an image of the scene based on at least external light originating from one or more external light sources. The device also includes a platform that supports the LIDAR transmitter, the LIDAR receiver, and the image sensor in a particular relative arrangement. The device also includes an actuator that rotates the platform about an axis to adjust the pointing direction of the device.

Abstract: Data that is predicted across pictures in a video sequence is managed by separating the data into multiple data types. Instead of keeping all data associated with a decoded picture, such as picture sample values and motion vector data, data associated with a decoded picture is split by data type to enable storing only a subset of all data associated with a decoded picture.

Abstract: Indirect time-of-flight (i-ToF) image sensor pixels, i-ToF image sensors including such pixels, stereo cameras including such image sensors, and sensing methods to obtain i-ToF detection and phase detection information using such image sensors and stereo cameras. An i-ToF image sensor pixel may comprise a plurality of sub-pixels, each sub-pixel including a photodiode, a single microlens covering the plurality of sub-pixels and a read-out circuit for extracting i-ToF phase signals of each sub-pixel individually.

Abstract: A naked-eye stereoscopic display system including a display, an optical element, and a controller is provided. The display is adapted to emit a plurality of image beams, and includes a plurality of display regions. Each of the display regions includes a plurality of first sub-display regions and a second sub-display region. A light configuration is performed on the image beams by the optical element, and then the image beams are projected out of the naked-eye stereoscopic display. The controller is electrically connected with the display. The controller controls the display, so that a light intensity of an image beam generated by the first sub-display regions is lower than a light intensity of an image beam generated by the second sub-display region. A display method of the naked-eye stereoscopic display is also provided.

Abstract: The encoding/decoding method and apparatus according to the present invention derives a residual coefficient of a residual block, calculates a quantization parameter for a residual block, performs dequantization on a residual coefficient using a quantization parameter, and performs inverse transform on a dequantized residual coefficient to reconstruct a residual sample of a residual block.

Abstract: In a method for image transmitting executed in a transmitting device, three data transmitting channels are established, the three data transmitting channels are a first channel, a second channel and a third channel. An image of a video is obtained, and the image is divided into a region of interest and a background region. A first data of the region of interest and a second data of the background region are obtained, and the first data is encoded through fountain coding to obtain a third data. The first data, the second data, and the third data are respectively transmitted through the first channel, the second channel, and the third channel to a receiving device. A network condition is received, and whether the network condition matches a preset condition is determined. When the network condition matches the preset condition, the first data is compensated according to a first preset algorithm.

Abstract: A method, a system, a processing device and a computer storage medium for evaluating a viewpoint density are provided. The method includes: acquiring a quantity of viewpoints of a display panel; comparing a size of an image spot radius of each viewpoint and image point spacing between the viewpoint and an adjacent viewpoint, and selecting one viewpoint as a reference viewpoint, calculating a crosstalk value between another viewpoint except the reference viewpoint and the reference viewpoint; and evaluating a viewpoint density for the auto-stereoscopic display according to the comparison of the size of the image spot radius of each viewpoint and the image point spacing between the viewpoint and the adjacent viewpoint and the calculated crosstalk value between the another viewpoint and the reference viewpoint.