双目结构光目标三维重建方法研究

    Research on Target 3D Reconstruction Technology Based on Binocular Structured Light

    • 摘要: 针对双目结构光三维重建在左右图像的立体匹配过程中,匹配基源选取不当造成的重建精度低等问题,提出一种基于绝对相位的匹配方法,从而降低误匹配率,提高重建精度。首先,在相移法与多频外差法求解的绝对相位基础上,利用极线约束对左右图像像素点采用全局搜索与局部搜索创建搜索匹配区域;然后对搜索区域进行三次样条插值实现亚像素立体匹配;最后利用三角测距原理完成匹配点二维坐标到三维坐标的转换,实现对目标表面的三维重建。实验结果表明:本文提出的方法较SAD和SSD匹配算法在匹配耗时上缩短了87.77%,在重建精度上分别提高了77.75%和90%,具有较强的通用性和实用性。同时三维重建后的点云无水波纹现象,表面平整光滑更接近实物。

       

      Abstract: Aiming to address low reconstruction accuracy caused by improper selection of matching source in the stereo matching process of left and right images in binocular structured light 3D reconstruction, a matching method based on absolute phase is proposed to reduce the mismatch rate and improve the reconstruction accuracy. Firstly, based on the absolute phase solved by phase shift method and multi-frequency heterodyne method, the polar line constraint is used to create a search matching area by global search and local search for the pixels of the left and right images. Then, cubic spline interpolation is performed on the search area to achieve sub-pixel stereo matching. Finally, the triangulation principle is used to complete the conversion of the two-dimensional coordinates of the matching points to three-dimensional coordinates, and the three-dimensional reconstruction of the target surface is realized. The experimental results show that the method proposed reduces the matching time by 87.77% compared to SAD and SSD matching algorithms, and improves the reconstruction accuracy by 77.75% and 90%, respectively, demonstrating its strong generality and practicality. Particularly, the point cloud reconstructed in 3D has no water ripple phenomenon, and the surface is smoother and closer to the actual object.

       

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