HAND-EYE CALIBRATION METHOD BASED ON THREE-DIMENSIONAL POINT CLOUD OF CALIBRATION PLATE

    公开(公告)号:US20240212210A1

    公开(公告)日:2024-06-27

    申请号:US18475025

    申请日:2023-09-26

    Abstract: A hand-eye calibration method based on three-dimensional point cloud of a calibration plate. The method includes: constructing a two-dimensional checkerboard calibration plate and a three-dimensional scanning system consisting of a camera and a projector; performing a calibration on each of the camera and the projector to obtain internal parameters of the two; performing a calibration on the camera and the projector to obtain a coordinate system transformation relation between the two; changing a pose of the calibration plate for at least three times, and acquiring at least three sets of transformation matrices of the calibration plate relative to a camera coordinate system and transformation matrices of an end of a manipulator relative to a manipulator base coordinate system through point cloud three-dimensional coordinates of the calibration plate; and solving to obtain a high-precision transformation matrix of the camera coordinate system relative to the manipulator base coordinate system.

    THREE-DIMENSIONAL MEASUREMENT METHOD AND SYSTEM FOR MODULATING THREE-DIMENSIONAL CODES ON PERIODIC EDGES

    公开(公告)号:US20230194249A1

    公开(公告)日:2023-06-22

    申请号:US18062958

    申请日:2022-12-07

    CPC classification number: G01B11/254

    Abstract: A three-dimensional measuring method and system for modulating three-dimensional codes at periodic edges are disclosed, the method includes: step A according to a number of phase levels and a composition rule of the three-dimensional codes, converting the number of phase levels into three-dimensional codes, modulating the three-dimensional codes to periodic edges; step B generating N pieces of modulated three-dimensional codes on periodic edges to form a sinusoidal fringe pattern, according to a N-step phase shift method; step C projecting N pieces of fringe patterns to a surface of an object, collecting the deformed N pieces of fringe patterns on the object surface; step D solving a wrapping phase and a mean intensity of N pieces of fringe patterns; step E since the mean intensities of the adjacent periodic edge codes are different, extracting edge coordinates from the mean intensities by using an edge extraction method.

    LARGE-DEPTH-RANGE THREE-DIMENSIONAL (3D) MEASUREMENT METHOD, SYSTEM, AND DEVICE BASED ON PHASE FUSION

    公开(公告)号:US20230074445A1

    公开(公告)日:2023-03-09

    申请号:US17986026

    申请日:2022-11-14

    Abstract: This disclosure relates to optical three-dimensional (3D) measurement, and more particularly to a large-depth-range 3D measurement method, system, and device based on phase fusion. Sinusoidal fringes corresponding to multiple high-frequency binary fringe patterns varying in stripe width, a middle-frequency binary fringe pattern, and a low-frequency binary fringe pattern are formed and then projected onto a to-be-measured object. After modulated by height of the object, the sinusoidal fringes are collected, and wrapped phases of the collected sinusoidal fringes are calculated to determine absolute phases of high-frequency sinusoidal fringes. Phase errors of a high-frequency sinusoidal fringe under different fringe widths are calculated according to the defocusing degree. An optimal absolute phase is selected based on the phase errors for the large-depth range 3D measurement.

    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.

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