Floor calibration method based on distortion image correction and related device
The invention discloses a distortion image correction-based floor calibration method and a related device, and the method comprises the steps: carrying out the linear detection of an input building image, and carrying out the radial correction of the image based on a radial distortion polynomial mod...
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creator | LUO MINNAN ZHENG LIJING YANG MINGFAN LIU HUAN ZHENG QINGHUA |
description | The invention discloses a distortion image correction-based floor calibration method and a related device, and the method comprises the steps: carrying out the linear detection of an input building image, and carrying out the radial correction of the image based on a radial distortion polynomial model; performing edge detection on an input building image, and obtaining image perspective correction based on the optimal vanishing point pair in the image; contour detection is carried out on the building image after image radial correction and image perspective correction, and a clear floor structure contour set of the building image is obtained; the center of mass of each contour is calculated based on a floor contour structure set of a building image, the longitudinal coordinates of the contour center of mass are clustered, the finally generated clustering number is the number of floors, and the mean value of the center of mass of each type of inner contour is the longitudinal coordinate position of the floor. |
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performing edge detection on an input building image, and obtaining image perspective correction based on the optimal vanishing point pair in the image; contour detection is carried out on the building image after image radial correction and image perspective correction, and a clear floor structure contour set of the building image is obtained; the center of mass of each contour is calculated based on a floor contour structure set of a building image, the longitudinal coordinates of the contour center of mass are clustered, the finally generated clustering number is the number of floors, and the mean value of the center of mass of each type of inner contour is the longitudinal coordinate position of the floor.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNikEKwjAQRbNxIeodxgO4CFbRpRSLK3HhvkyTbw2kmTIJnt9SPICrx3__Lc2jiSJKjmPolEuQRAPKWzx1nOFp2j7kIjpfYeAe5EQVbhacPCkilyn1-ASHtVm8OGZsflyZbXN91rcdRmmRR3ZIKG19t_ZQnY8nW132_zRfqug3eg</recordid><startdate>20221220</startdate><enddate>20221220</enddate><creator>LUO MINNAN</creator><creator>ZHENG LIJING</creator><creator>YANG MINGFAN</creator><creator>LIU HUAN</creator><creator>ZHENG QINGHUA</creator><scope>EVB</scope></search><sort><creationdate>20221220</creationdate><title>Floor calibration method based on distortion image correction and related device</title><author>LUO MINNAN ; 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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Floor calibration method based on distortion image correction and related device |
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