6 results about "Linear representation" patented technology

A cross-subject motion intention recognition method, system and medium relate to the technical field of human motion intention recognition. The foregoing method comprises: collecting physiological signals and / or motion signals of a source subject and a target subject under different motion intentions, and preprocessing the same; extracting time domain features and frequency domain features from the preprocessed signals; constructing a kernel space projection function, mapping the extracted features to a reproducing kernel Hilbert space to realize linear representation of nonlinear relationship; constructing a joint objective function comprising a classification loss, a source subject fusion loss and a domain adaptation loss; and optimizing and solving the joint objective function in the reproducing kernel Hilbert space to obtain a classification model for motion intention recognition. The present application can solve the cross-subject generalization problem.

Approaches presented herein provide for the generation of image content including fine objects, such as those that may be less than one pixel in width. Fine objects such as hairs can be represented by curve equations, and curves defined by these equations can be given an inflated width in order to perform conservative hit testing to efficiently identify pixels that a hair might intersect. Once candidate pixels are identified through ray tracing or sampling, for example, false positives or pixels with little hair representation can be removed from consideration. For remaining pixels, a linear representation of the inflated curve can be used to determine intersection points and vertices of a pixel quad corresponding to a hair, which can be used to generate a convex geometric shape representative of the object. The percentage of the pixel area occupied by this geometric shape can be used to determine an alpha or blending value for blending the pixel value of this hair or object with the background pixel color.

This invention discloses a method, terminal device, and storage medium for noise identification and filtering in lidar, comprising: clustering line segments according to distance similarity in the scanning order for each scan line, marking suspected noise line segments in each scan line to obtain a set of suspected noise line segments; performing rapid clustering on each suspected noise line segment in the set to obtain multiple targets, and deleting point noise corresponding to targets containing fewer than a threshold line segments from the point cloud; calculating the linear representation of the suspected noise line segments and determining whether it is a centripetal line, and deleting the linear noise corresponding to the centripetal line from the point cloud. This invention is applied to the field of lidar, solving the problem of identifying and filtering point and linear noise in lidar, with low time consumption, compatibility with any multi-line mechanical rotating lidar, strong generalization ability, and the ability to retain real target point clouds with similar noise while filtering noise, resulting in extremely low false detection and false detection rates.

The invention discloses a time series data consistency evaluation method based on dynamic mode matching and slope deviation analysis. The method comprises the following steps: firstly, loading and preprocessing actually measured data and simulation data, including format unification, sampling alignment and denoising normalization, so as to ensure data comparability; then extracting feature points based on a slope mutation threshold value, and performing piecewise linear modeling by taking the feature points as boundaries to obtain the slope, intercept and residual error of each segment, and forming linear representation of the overall trend and local change; on the basis, slope difference between actually measured data and simulation data is calculated section by section, a trend deviation index is obtained, meanwhile, a characteristic mode based on time span and amplitude difference is constructed, an improved dynamic time warping algorithm is adopted, a path normalization mechanism is introduced, and an overall form difference index is calculated; and finally, a consistency score is obtained through dual-index fusion and weighting, automatic analysis and visual display of time series data consistency can be realized, and the method is suitable for scenes such as inertial navigation and industrial monitoring.

The present disclosure relates to signaling quantization parameters. A method of reconstructing encoded data with one or more processors includes receiving an encoded bitstream including one or more encoded pictures, wherein each picture includes a luma component, a first chroma component, and a second chroma component; extracting syntax parameters from the encoded bitstream to determine a chroma quantization parameter (QP) table, wherein the chroma QP table maps an input luma QP value to a corresponding chroma QP value; and decoding the one or more encoded pictures based on the chroma QP table, wherein the syntax parameters include a starting luma QP value and one or more offset parameters to determine the mapping of luma QP values to chroma QP values using a piecewise linear representation.

The application discloses a kind of based on the band gap calculation method of periodic pile arrangement structure of area decomposition and linear expression method, the method adopts area decomposition to divide pile soil coordinate system, establishes by periodic boundary constraint condition matrix and pile soil contact interface constraint condition matrix composition pile soil cell total constraint condition matrix;Pile soil cell total constraint condition matrix is handled by linear expression method, and the basic solution set is obtained;According to the basic solution set, the total energy functional of pile soil cell and the motion equation of pile soil cell are established;According to the motion equation of pile soil cell, the wave number of first Brillouin zone is scanned, and the vibration dispersion curve of periodic pile arrangement structure is obtained;The corresponding relationship between wave vector and the frequency of periodic pile arrangement structure is analyzed, and the band gap characteristics of periodic pile arrangement structure are obtained.The application avoids the problem of pile soil parameter distortion and the boundary dependence problem in shape function construction, and has low implementation complexity, accurate calculation result and significantly improved calculation efficiency.