Abstract: An image processing apparatus includes a corresponding point calculator and a determination unit. The corresponding point calculator identifies corresponding points relating to an object based on left and right images in each stereo image. The corresponding points include a right image point in the right image and a left image point in the left image. The determination unit predicts a first position of the left image point in a second stereo image, and a second position of the right image point in a second stereo image, based on a position of the left image point in a first stereo image and a position of the right image point in the first stereo image, and determines whether the object is a mobile body based on a difference between the first position predicted and the first position identified, and a difference between the second position predicted and the second position identified.

Abstract: An idea used herein is to use the same function for the dependency of the context and the dependency of the symbolization parameter on previously coded/decoded transform coefficients. Using the same function—with varying function parameter—may even be used with respect to different transform block sizes and/or frequency portions of the transform blocks in case of the transform coefficients being spatially arranged in transform blocks. A further variant of this idea is to use the same function for the dependency of a symbolization parameter on previously coded/decoded transform coefficients for different sizes of the current transform coefficient's transform block, different information component types of the current transform coefficient's transform block and/or different frequency portions the current transform coefficient is located within the transform block.

Abstract: A computer implemented scheme for a light detection and ranging (LIDAR) system where point cloud feature extraction and segmentation by efficiently is achieved by: (1) data structuring; (2) edge detection; and (3) region growing.

Abstract: An object of the embodiments is to achieve an improved reference picture handling. That is achieved by taking into account whether the reference pictures in the decoded picture buffer are long-term reference pictures or short-term reference pictures when determining how they should be marked when the information of the reference picture set is received. The reference pictures are marked as “used for short-term reference” or “used for long-term reference” in the Decoded Picture Buffer (DPB) depending on whether they are included as short-term pictures or long-term pictures in the RPS of a current picture.

Abstract: An apparatus for encoding an image block includes a processor that presents, to a machine-learning model, the image block, obtains the partition decision for encoding the image block from the model, and encodes the image block using the partition decision. The model is trained to output a partition decision for encoding the image block by using training data for a plurality of training blocks as input, the training data including for a training block, partition decisions for encoding the training block, and, for each partition decision, a rate-distortion value resulting from encoding the training block using the partition decision. The model is trained using a loss function combining a partition loss function based upon a relationship between the partition decisions and respective predicted partitions, and a rate-distortion cost loss function based upon a relationship between the rate-distortion values and respective predicted rate-distortion values.

Abstract: Systems and methods for estimating depths of features in a scene or environment surrounding a user of a spatial computing system, such as a virtual reality, augmented reality or mixed reality (collectively, cross reality) system, in an end-to-end process. The estimated depths can be utilized by a spatial computing system, for example, to provide an accurate and effective 3D cross reality experience.

Abstract: A three-dimensional geometry measurement apparatus including: a preliminary measurement part that creates a plurality of pieces of preliminary measurement data indicating three-dimensional coordinates of a reference point on a reference instrument; a reference data creation part that creates reference data; a calculation part that calculates a correction value on the basis of the reference data and the preliminary measurement data which does not match the reference data; a target measuring part that creates target measurement data indicating results of measuring a measurement point of the object to be measured; a correction part that corrects the target measurement data in the measurement system corresponding to the preliminary measurement data that does not match the reference data, on the basis of the correction value; and a geometry identification part that identifies a geometry of the object to be measured using the corrected target measurement data.

Abstract: A method for reconstructing a picture block is disclosed, wherein the block is predicted using local illumination compensation. The parameters of local illumination compensation are determined according to a selection of reconstructed samples located to the left and above of the current block. In the case where some of them are unavailable, they may be replaced using different techniques.

Abstract: A system monitors moveable objects using sensor data captured using one or more sensor mounted on a location of the moveable object. The system uses a machine learning based model to predict a risk score indicating a degree of risk associated with the moveable object. The system determines the action to be taken to mitigate the risk based on the risk score. The system transmits information describing the moveable object based on the sensor data to a remote monitoring system. The system may determine the amount of information transmitted, the rate at which information is transmitted, and the type of information displayed based on the risk score. The system performs dignity preserving transformations of the sensor data before transmitting or storing the data.

Abstract: Disclosed are an image encoding and decoding method, image processing device, and computer storage medium. the image coding method includes: when copying coding is performed on a current coding block by using one of the at least two different palette and pixel string copying coding manners, generating a new palette color according to pixels of the current coding block; generating a palette for the current coding block according to the new palette color and a palette color candidate set shared by the at least two different palette and pixel string copying coding manners; and performing palette and pixel string copying coding by using the palette for the current coding block, and generating a video bitstream comprising a copying manner and a copying parameter.

Abstract: A method of coding of video data is disclosed. According to the method, a predicted luma quantization parameter is derived and a luma quantization parameter is generated. The predicted luma quantization parameter is derived by using a tree type specifying whether a single tree or a dual tree is used to partition a coding tree. The luma quantization parameter is generated by using the predicted luma quantization parameter. The predicted luma quantization parameter is set equal to a luma quantization parameter of a coding unit containing a luma coding block covering a neighbouring location by using a current quantization group and a neighbouring block availability.

Abstract: An imaging device includes an image sensor and an image processor. The image sensor includes an array of pixels. At least one pixel in the array of pixels includes an array of phase disparity subpixels. The array of pixels includes a set of filter elements arranged in a filter pattern, with different subsets of pixels receiving light through different types of filter elements in the set of filter elements. The image processor is configured to receive values measured by at least the phase disparity subpixels; estimate phase disparities between the received values; generate, using the estimated phase disparities, a set of corrected values for the phase disparity subpixels; and generate, using the set of corrected values for the phase disparity subpixels, a set of demosaiced values for each image plane in a set of image planes. Each image plane is associated with a different type of filter element in the set of filter elements.

Abstract: A device for decoding video data can be configured to receive a syntax element indicating a maximum block size for a transform skip mode; determine a maximum block size for a block-based delta pulse code modulation (BDPCM) mode based on the syntax element; and decode block of video data based on the determined maximum block size for the BDPCM mode.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: Methods to solve the problem of performing fusion of images acquired with two cameras with different type sensors, for example a visible (VIS) digital camera and an short wave infrared (SWIR) camera, include performing image space equalization on images acquired with the different type sensors before performing rectification and registration of such images in a fusion process.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A method, computer program, and computer system is provided for coding video data. Video data including a reference view and a current view is received. A co-located block in the reference view is identified for a current block in the current view. A predicted block vector is calculated based on an offset vector between the current block and the co-located block, and a disparity vector between the co-located block and the reference block in the reference view. The video data is encoded/decoded based on the calculated predicted block vector.

Abstract: A picture prediction method includes: determining motion vectors of W control points in a current picture block; obtaining motion vectors of P pixel units of the current picture block by using a motion model and the motion vectors of the W control points, where precision of the determined motion vectors of the W control points is 1/n of pixel precision, precision of the motion vector of each of the P pixel units is 1/N of the pixel precision, the motion vector of each of the P pixel units is used to determine a corresponding reference pixel unit in a reference picture of a corresponding pixel unit; and performing interpolation filtering on a pixel of the corresponding reference pixel unit by using an interpolation filter with a phase of Q, to obtain a predicted pixel value of each of the P pixel units.

Abstract: Disclosed are an extrinsic camera parameter calibration method, apparatus and system. The method includes: obtaining a calibration image photographed for a target location in a calibration cabin by a first camera provided therein; determining calibration feature information of the target location from the calibration image; obtaining reference feature information pre-determined from a reference image photographed for a target location in a reference cabin by a second camera provided therein; determining position-posture change data of the first relative to the second camera based on a calibration location of the calibration feature information in the calibration image and a reference location of the reference feature information in the reference image; and determining an extrinsic parameter of the first camera based on the position-posture change data. The extrinsic parameter of the first camera can be calibrated in real time and is closer to a currently actual state of the first camera when used.

Abstract: Provided are VR image processing method and apparatus. The method includes: rendering left-eye and right-eye viewpoint regions based on left-eye and right-eye view angles respectively, to obtain left-eye and right-eye viewpoint images; determining a candidate region based on positions of the left-eye and right-eye view angles, and selecting a point in the candidate region as a peripheral image view angle; rendering left-eye and right-eye viewpoint peripheral regions based on the peripheral image view angle, to obtain a same viewpoint peripheral image; and splicing the viewpoint peripheral image with the left-eye viewpoint image and with the right-eye viewpoint image to obtain a left-eye complete image and a right-eye complete image.