计算机视觉
人工智能
稳健性(进化)
三维重建
计算机科学
迭代重建
光学
积分成像
曲面重建
极化(电化学)
结构光
立体显示器
对象(语法)
三维模型
摄像机切除
立体视觉
摄像机自动校准
单摄像机
立体摄像机
双眼视觉
物理
双眼视差
重建算法
立体视
三维建模
雷
光源
作者
Mingsheng Liu,Hongyuan Zhou,Sisheng Nie,Yan Jiang,Zhong Wu,Dahai Xu,Ling Zhu,Yanliang Zhan,Zhenmin Zhu
出处
期刊:Photonics
[Multidisciplinary Digital Publishing Institute]
日期:2026-02-28
卷期号:13 (3): 238-238
标识
DOI:10.3390/photonics13030238
摘要
Line-structured light three-dimensional (3D) measurement is commonly used for three-dimensional contour reconstruction of objects in complex industrial environments, but the problem of missing information occurs when three-dimensional reconstruction is performed on objects with smooth surfaces, single texture, and high reflectivity, resulting in defective reconstructed object surfaces. For this reason, this study proposes a fused complementary 3D reconstruction technique based on a polarization-based binocular line-structured light system. First, the reconstructed image of the object is captured using a Polarization Binocular Camera, and the polarized imaging effectively reduces the strong highlights and extracts more detailed information on the surface of the object. Then, the calibrated camera and optical planes are used to acquire the spatial coordinates of the object reconstructed by the left camera and right camera. Finally, the spatial coordinates obtained by the left camera and right camera are aligned, and the high-precision 3D reconstruction results are generated. The experimental results show that the proposed method can effectively improve the accuracy and robustness of 3D reconstruction, has a good application prospect, and can meet the technical requirements of industrial 3D measurement.
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