Du Junlin, Yang Fan, Guo Hong, Zhu Jiangping, Zhou Pei
Appl Opt. 2024 May 1;63(13):3506-3517. doi: 10.1364/AO.517940.
As industrial and scientific advancements continue, the demand for precise measurement of three-dimensional (3D) shapes and surfaces is steadily increasing. However, accurate 3D measurement of certain surfaces, especially those with varying reflectivities, has always been a challenging issue. Multi-exposure fusion methods have shown stable, high-quality measurement results, but the selection of parameters for these methods has largely been based on experience. To address this issue, this paper has improved the multi-exposure fusion method and introduced a guided approach for parameter selection, significantly enhancing the completeness of measurement results. Additionally, a comparative model is developed to experimentally validate the specific impacts of Gaussian window variance, optimal grayscale range, and attenuation factor variance on the integrity of 3D reconstruction. The experimental results demonstrate that under the guidance of the parameter adjustment method proposed in this paper, the multi-exposure fusion for measuring the 3D topography of high-dynamic surfaces improves the restoration coverage from the original 86% (bright areas) and 50% (dark areas) to over 99%. This provides a selection strategy for parameter adjustment guidance in precise measurements based on the multi-exposure method.
随着工业和科学的不断进步，对三维（3D）形状和表面进行精确测量的需求正在稳步增长。然而，对某些表面进行精确的3D测量，尤其是那些具有不同反射率的表面，一直是一个具有挑战性的问题。多曝光融合方法已显示出稳定、高质量的测量结果，但这些方法的参数选择在很大程度上一直基于经验。为了解决这个问题，本文改进了多曝光融合方法，并引入了一种参数选择的引导方法，显著提高了测量结果的完整性。此外，还开发了一个比较模型，通过实验验证高斯窗口方差、最佳灰度范围和衰减因子方差对3D重建完整性的具体影响。实验结果表明，在本文提出的参数调整方法的指导下，用于测量高动态表面3D地形的多曝光融合将恢复覆盖率从原来的86%（明亮区域）和50%（黑暗区域）提高到了99%以上。这为基于多曝光方法的精确测量中的参数调整指导提供了一种选择策略。
