Super-density stripe structured light three-dimensional surface scanning method and system

By employing a high-density fringe structured light 3D surface scanning method, and utilizing Zhang's calibration and radiance model, the problem of insufficient fringe density in existing technologies is solved, achieving high-precision and complete 3D reconstruction, which is suitable for 3D measurement in dynamic scenes.

CN121594792APending Publication Date: 2026-03-03NORTHWEST A & F UNIV
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Patent Information

Application Number
CN202511878253.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-12
Publication Date
2026-03-03

AI Technical Summary

Technical Problem

In applications with high real-time requirements, existing structured light 3D measurement technology suffers from insufficient fringe density, leading to missing 3D reconstruction data. Furthermore, the complexity and computational power of the phase resolution algorithm limit the measurement accuracy and coverage.

Method used

A three-dimensional surface scanning method using ultra-density striped structured light is employed. The camera is calibrated using Zhang's calibration method, ultra-density striped structured light patterns are projected, and the center points of the stripes are extracted using a sub-pixel precision positioning method. The missing data is then filled in using a radiance model, thus achieving the integrity and accuracy of the three-dimensional point cloud.

Benefits of technology

It improves the accuracy and completeness of 3D reconstruction, enhances data coverage, can capture minute changes on the surface of dynamic objects, reduces measurement errors, and realizes the extension from line scanning to surface scanning.

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Abstract

The invention belongs to the technical field of structured light three-dimensional measurement, and particularly relates to a super-density stripe structured light three-dimensional surface scanning method and system, and the method comprises the steps: obtaining camera parameters; projecting a super-density stripe structure light pattern formed by alternating wide bright and dark stripes to an object; acquiring an image by using a camera, and extracting a central point pixel coordinate of the stripe-structured light pattern by using a sub-pixel precision positioning method; calibrating a light plane equation of each stripe structure light pattern under a camera coordinate system by means of a plane target; reversely projecting the pixel coordinate of the central point of the stripe-structured light pattern into a ray and intersecting the ray with a corresponding light plane to obtain the three-dimensional coordinate of the ray and form an initial three-dimensional point cloud; and finally, carrying out gray scale estimation and filling on missing data caused by signal saturation or difficult positioning based on a radiation brightness physical model to obtain complete and accurate three-dimensional surface shape data. According to the invention, high-precision, high-density and high-integrity three-dimensional surface scanning is realized, and the reliability and applicability of a measurement result are remarkably improved.
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