THREE-DIMENSIONAL MEASUREMENT METHOD AND RELATED APPARATUS

    公开(公告)号:US20230401730A1

    公开(公告)日:2023-12-14

    申请号:US18154557

    申请日:2023-01-13

    CPC classification number: G06T7/521 G01C3/02 G06T2207/10028

    Abstract: A three-dimensional measurement method comprises: converting a total number of levels of sawtooth fringes into a Gray code and acquiring a sawtooth slope coefficient; fusing the coefficient into a sawtooth fringe image to generate a target sawtooth fringe pattern; projecting each target sawtooth fringe pattern to a surface of a to-be-measured object through a projector, and collecting a deformed target sawtooth fringe pattern on the surface through a camera; solving a Gray code of each sawtooth fringe collection pattern at each pixel point according to a differential property of adjacent pixels in each sawtooth fringe collection pattern and solving a fringe level and a wrapped phase at each pixel point; calculating an absolute phase at each pixel point according to the fringe level and the wrapped phase at each pixel point, and reconstructing a three-dimensional point cloud through triangulation ranging to obtain a three-dimensional model of the to-be-measured object.

    PLANE CODING TARGET AND IMAGE SPLICING SYSTEM AND METHOD APPLYING THE SAME

    公开(公告)号:US20230217036A1

    公开(公告)日:2023-07-06

    申请号:US18065530

    申请日:2022-12-13

    CPC classification number: H04N19/513 H04N19/172

    Abstract: Disclosed are a plane coding target and an image splicing system and method applying the same. The plane coding target comprises a plurality of coding units distributed in an array, the coding unit comprises one central coding point, a plurality of normal coding points and at least one positioning point, and a positioning point distribution style of the positioning point is used for determining coordinates of the central coding point and the normal coding points in a coding unit coordinate system; and coding numerical value sequences of the coding units are different from each other and unique. The plane coding target can realize large-area coding and positioning functions, and the image splicing system applying the plane coding target can solve the problems of splicing error and error accumulation caused by an identification error of a splicing location, thus realizing large-range, high-precision and short-time two-dimensional image splicing.

    TIME OPTIMAL SPEED PLANNING METHOD AND SYSTEM BASED ON CONSTRAINT CLASSIFICATION

    公开(公告)号:US20230185262A1

    公开(公告)日:2023-06-15

    申请号:US17991936

    申请日:2022-11-22

    CPC classification number: G05B19/041 G06F17/16

    Abstract: A time optimal speed planning method and system based on constraint classification. The method comprises: reading path information and carrying out curve fitting to obtain a path curve; sampling the path curve, and considering static constraint to obtain a static upper bound value of a speed curve; considering dynamic constraint, and combining the static upper bound value of the speed curve to construct a time optimal speed model; carrying out convex transformation on the time optimal speed model to obtain a convex model; and solving the convex model based on a quadratic sequence planning method to obtain a final speed curve. The system comprises: a path curve module, a static constraint module, a dynamic constraint module, a model transformation module and a solving module.

    FAST CLUSTERING ALGORITHM BASED ON KERNEL FUZZY C-MEANS INTEGRATED WITH SPATIAL CONSTRAINTS

    公开(公告)号:US20210081827A1

    公开(公告)日:2021-03-18

    申请号:US17088577

    申请日:2020-11-03

    Abstract: A fast clustering algorithm of kernel fuzzy C-means integrated with spatial constraints, including (1) applying the illumination processing algorithm, the preprocessed image affected by illumination is constructed; (2) After step (1), the original image and preprocessed image are mapped to the feature space using Gaussian kernel to cluster and segment. Providing a defect segmentation method for fluorescent glue which is robust to illumination to process and calculate the illuminated image, so as to complete the detection of foreign matters, bubbles and discoloration defects of fluorescent glue in lighting products. The disclosure provides a fast clustering algorithm of kernel fuzzy C-means integrated with spatial constraints. The image is mapped into the feature space, and the objective function of kernel fuzzy C-means clustering is optimized by using the spatial relationship of pixels, so that the clustering process has segmentation robustness to the gray value change of similar pixels caused by environmental changes.

    METHOD AND SYSTEM FOR OPTIMAL CONTROL OF ULTRA-PRECISION CUTTING

    公开(公告)号:US20200290170A1

    公开(公告)日:2020-09-17

    申请号:US16814274

    申请日:2020-03-10

    Abstract: A method and system for optimal control of ultra-precision cutting. The method for optimal control is based on time-precipitates-temperature characteristics of Al—Mg—Si series aluminum alloy, and includes first determining types of precipitates of machined materials, and establishing a Lifshitz-Slyozov-Wagner (LSW) model of each precipitate. A temperature range is determined corresponding to each precipitate according to the LSW model to obtain a comprehensive temperature range. A relation model is established between cutting parameters and a cutting temperature according to the LSW model. Finally the cutting parameters are optimized according to the comprehensive temperature range and the relation model, so that the cutting temperature is beyond the comprehensive temperature range to inhibit the generation of the precipitates.

    CONTROL METHOD FOR CONVERTING TIME-VARYING SYSTEM INTO TIME-INVARIANT SYSTEM

    公开(公告)号:US20200065693A1

    公开(公告)日:2020-02-27

    申请号:US16191967

    申请日:2018-11-15

    Abstract: A control method for converting time-varying system into a time-invariant system, comprises: using (n−1)th to 0th order signals of an nth-order time-varying, system as feedback to set up a closed loop control for the time-varying system; acquiring real-time values of the coefficients in each order of the time-varying system through a sensor, and calculating variations between the real-time values and the initial values of the coefficients in each order through a controller; amplifying and summing the parameters of every order to obtain a measured disturbance; inputting the measured disturbance, a control signal from a controller and an nth-order signal into an extended state observer through to estimate the rest disturbance; summing up the measured and estimated disturbances to obtain total disturbances; and adjusting the above parameters in each order through the controller to convert the time-varying system into the tune-invariant system.

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