Abstract: A driver assistance system and driver assistance method for a combination of a motor vehicle and a trailer, which includes a first camera located on the motor vehicle configured to generate a first image, and a second camera located on the trailer configured to generate a second image, and a computer processing device configured to determine a first distance and a second distance by a sensor or a user input, determine a bowl view responsive to the first distance and the second distance in relation to a threshold distance, and generate a combined image from the second image and the first image responsive to the bowl view.

Abstract: Transform kernel candidates including a vertical transform type associated with a vertical motion and a horizontal transform type associated with a horizontal motion can be encoded or decoded. During a decoding operation, a probability model for decoding encoded bitstream video data associated with a transform kernel candidate for an encoded transform block is identified based on one or both of a first transform kernel candidate selected for an above neighbor transform block of the encoded transform block or a second transform kernel candidate selected for a left neighbor transform block of the encoded transform block. The encoded bitstream video data associated with the transform kernel candidate is decoded using the probability model.

Abstract: Generating a compound predictor block for a current block of video includes generating, for the current block, a first predictor block using one of inter-prediction or intra-prediction and generating a second predictor block. The first predictor block includes a first pixel and the second predictor block includes a second pixel that is co-located with the first pixel. A first weight is determined for the first pixel using a difference between a value of the first pixel and a value of the second pixel. A second weight is determined for the second pixel using the first weight. The compound predictor block is generated by combining the first predictor block and the second predictor block. The compound predictor block includes a weighted pixel that is determined using a weighted sum of the first pixel and the second pixel using the first weight and the second weight.

Abstract: Stereoscopy in which at least one image of a scene is recorded from a first viewing angle, and at least one image of the scene is recorded from a second viewing angle. The scene is recorded multiple times from the first viewing angle. A first combination image is obtained from the various images recorded from the first viewing angle, said combination image according to the stipulation of a comparison algorithm having smaller differences in relation to at least one image also recorded from the second viewing angle or smaller differences in relation to a second combination image obtained from the images from the second viewing angle than each individual image recorded from the first viewing angle. An image of the scene with the depth information is obtained from the first combination image and at least one image from the second viewing angle or the second combination image.

Abstract: A system includes a plurality of satellites in orbit around a celestial body in a plurality of orbital planes. Each satellite includes an imaging device having a field of view (FOV) to capture an image of a sky that includes celestial image features of resident space object (RSO), stars, and/or planets. The satellite processor is configured to receive image data from sensors in the imaging device, to increase a positional detection accuracy of the celestial image features by defocusing imaging optics of the imaging device, to capture image data in a volume of the sky as the FOV of the imaging device on each satellite moves in an orbital plane, and generate by a centralized computer at least 1,000 celestial image features using the image data transmitted from each of the satellites.

Abstract: A method for numerically compensating imaging errors caused by a geometrical deformation of a stereo camera is provided. An inertial variable vector is provided that is determined by an accelerometer, which inertial variable vector is expressed in a stereo camera coordinate system with a known geometrical relationship between the stereo camera coordinate system and the world coordinate system, and which inertial variable vector relates to a physical force which at least partly causes the geometrical deformation of the stereo camera. A calibrated analytic deformation model of the stereo camera is evaluated with the inertial variable vector as input. Updated external camera parameters are determined. The updated external camera parameters and known internal camera parameters of the two cameras are used for stereophotogrammetric analysis of images acquired by the stereo camera.

Abstract: An imaging device includes an alignment platform configured to hold a cell culture plate having a plurality of wells and an imaging assembly including a plurality of imaging units, each of which is configured to image one well of the plurality of wells.

Abstract: Methods and apparatus for performing intra prediction in an encoder or a decoder for non-square blocks enable a combination of reference samples from a row above the non-square block and a row to the left of the non-square block to be used for the prediction. In one embodiment, a weighted combination of reference samples are used. In another embodiment, the angles of prediction are extended in the longer direction of the non-square block, such that less angles of prediction are used in the shorter direction.

Abstract: An example apparatus includes a first frame buffer configured to store video data; a second frame buffer configured to store video data; and one or more processors configured to: reconstruct samples of a first block of a current picture of video data; store, in parallel, a compressed version of the samples of the first block of video data in the first frame buffer and an uncompressed version of the samples of the first block of video data in the second frame buffer; and responsive to determining to reconstruct a second block of the current picture of video data using intra block copy: obtain, from the second frame buffer, samples of a predictor block located in the current picture of video data, the predictor block at least partially overlapping the first block of video data; and predict, based on the obtained samples of the predictor block, samples of the second block.

Abstract: A video decoding method according to the present document comprises a step of deriving a modified transform coefficient, and the step of deriving the transform coefficient may comprise the steps of: determining whether an LFNST can be applied to the height and width of a current block on the basis of the tree type and color format of the current block; parsing an LFNST index if the LFNST can be applied; and deriving the modified transform coefficient on the basis of the LFNST index and an LFNST matrix.

Abstract: An image acquisition method and apparatus are provided. By controlling a motion device, at least one of an image acquisition device or a photographed target object moves under the driving of the motion device, so that a sample image including the target object can be acquired in a preset designated acquisition pose after movement, thereby improving the accuracy of a relative pose between the image acquisition device and the target object during acquisition, reducing human intervention during acquisition, improving the automation degree, and providing the possibility for subsequent services that need to be performed according to sample images captured with relatively high shooting pose accuracy.

Abstract: In exemplary embodiments, methods and systems are provided that include or utilize one or more automotive equipped cameras and a processor. The one or more automotive equipped cameras are configured to be onboard a vehicle and to obtain camera images during operation of the vehicle, the camera images including a view of one or more wheels of the vehicle. The processor is coupled to the one or more cameras, and is configured to at least facilitate: processing the camera images; and determining one or more states of the one or more wheels, including an alignment thereof, a health thereof, or both, based on the processing of the camera images.

Abstract: An image decoding method according to the present document comprises the steps of: receiving a bitstream including residual information; deriving a quantized transform coefficient for a current block on the basis of the residual information included in the bitstream; deriving a residual sample for the current block on the basis of the quantized transform coefficient; and generating a restoration picture on the basis of the residual sample for the current block, wherein the residual information includes position information for indicating the position of a transform coefficient, which is not the last 0 in a transform block, and the position information can be derived if a transform skip is not applied to the transform block.

Abstract: Embodiments are directed to perceiving scene features using event sensors and image sensors. Paths may be scanned across objects in a scene with one or more beams. Images of the scene may be captured with frame cameras. Events may be generated based on detection of beam reflections that correspond to the objects. Trajectories may be based on the paths and the events. A distribution of intensity associated with the trajectories may be determined based on the energy associated with the traces in the images. Centroids for the trajectories may be determined based on the distribution of the intensity of energy, a resolution of the frame cameras, or timestamps associated with the events. Enhanced trajectories may be generated based on the centroids such that the enhanced trajectories may be provided to a modeling engine that executes actions based on the enhanced trajectories and the objects.

Abstract: An imaging system is configured with an autofocus operation that refocuses multiple cameras of the imaging system on detected features of interest, instead of on the whole image of the sample. Focus measures are calculated on the detected features, and then aggregated to focus distances of actuator moving the camera array, the sample stage, or individual cameras based on a maximization of detected features to be in focus. After the refocus, the imaging system recaptures new images and analyzes features on the new images to generate statistical characterization of the sample based on the classification of the features.

Abstract: A video decoding method performed by a decoding apparatus includes deriving one of a plurality of cross-component linear model (CCLM) prediction mode as a CCLM prediction mode of the current chroma block, deriving a sample number of neighboring chroma samples of the current chroma block based on the CCLM prediction mode of the current chroma block, a size of the current chroma block, and a specific value derived as 2. The method includes deriving the neighboring chroma samples of the sample number, calculating CCLM parameters based on the neighboring chroma samples and the down sampled neighboring luma samples, deriving prediction samples for the current chroma block based on the CCLM parameters and the down sampled luma samples and generating reconstructed samples for the current chroma block based on the prediction samples.

Abstract: An encoder encodes a video, and includes: circuitry; and memory coupled to the circuitry. Using the memory, the circuitry: obtains at least two items of prediction information for a first partition included in the video; derives at least one template from neighboring samples which neighbor the first partition; calculates at least two costs, using the at least one template and the at least two items of prediction information; using the at least two costs, (i) determines at least one splitting direction for the first partition or (ii) assigns one of the at least two items of prediction information to a second partition split from the first partition according to the splitting direction, and another thereof to a third partition split from the first partition according to the splitting direction; and encodes the first partition according to the splitting direction and the at least two items of prediction information.

Abstract: Aspects of present disclosure relate to real-time image generation. An exemplary apparatus for real time image generation includes at least an optical system, a slide port configured to hold a slide, an actuator mechanism mechanically connected to a mobile element, a user interface comprising an input interface and an output interface, at least processor configured to: using the at least an optical system, capture a first image of the slide at a first position, modify the first image, using the output interface, display the first image to a user, using the input interface, receive a parameter set from the user.

Abstract: An image decoding method according to the present document may comprise the steps of: receiving image information including residual information and an LFNST index from a bitstream; deriving a transform coefficient on the basis of the residual information; deriving a flag variable related to whether LFNST is applied to a current block on the basis of the LFNST index; and performing the LFNST on the basis of the flag variable and the transform coefficient, wherein the flag variable is derived for each color component of the current block.

Abstract: A method includes transcoding a first block from a spatial region. The first block is associated with a first block tree pattern defining a structure of splitting a block into smaller blocks. A bit string of bits for the first block tree pattern is included in an encoded bitstream. The method determines a location of the first block in the spatial region when the first block tree pattern of the first block can be reused for a second block tree pattern of a second block. The spatial region includes blocks and the location is based on the first block being in the spatial region. Information for the second block is included in the encoded bitstream that indicates the location of the first block in the spatial region. The location allows the bit string for the first block tree pattern to be retrieved for use to decode the second block.