多摄像头3D数字图像与点向优化的基于模型的立体声配对相关
Wenxiang Qin1, Feiyue Wang1, Shaopeng Hu2
1Graduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima 739-8527, Japan.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
一种新的方法,MPMC-DIC,优化了多摄像头数字图像相关性 (MC-DIC) 进行动态变形测量. 它通过智能配对相机来提高准确性和稳定性,克服现有技术的局限性.
科学领域:
- 工程 工程师 工程师 工程师
- 测量科学 测量科学 测量科学
- 计算机视觉 计算机视觉
背景情况:
- 动态变形测量 (DDM) 对基础设施和工业至关重要.
- 多摄像头数字图像相关性 (MC-DIC) 提供非接触式3D DDM,但受到低效的摄像头配对和过度分组的影响.
- 现有的方法导致复杂的设置和不准确的变形测量.
研究的目的:
- 引入一种新的MC-DIC方法,用于精确和可靠的动态变形测量.
- 为了克服手动或简单的摄像头配对策略在MC-DIC中的局限性.
- 为了实现准确的DDM半刚性物体,即使有复杂的背景.
主要方法:
- 提出了一个基于模型的立体声配对 (MPMC-DIC) 方法.
- 根据五个关键因素开发了一个自动化系统来评估和选择最佳的相机对.
- 利用3D模型信息和校准的摄像头数据来选择对.
主要成果:
- 在一个气实验中,在高达5.0mm的排位上,达到0.03mm的精度的高精度DDM.
- 使用2x4摄像机阵列,在杂乱的背景下展示了强度.
- 在具有复杂几何形状的振动PC扬声器上成功执行了广泛的动态变形分析.
结论:
- MPMC-DIC有效地克服了MC-DIC中的过分分组问题.
- 拟议的方法提高了动态变形测量的精度和稳定性.
- MPMC-DIC适用于分析复杂场景和几何结构中的动态变形.
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