多视角相机追踪各向异性颗粒的三维位置与方向，支持复杂流体中粒子运动分析。
Multi-camera orientation tracking method for anisotropic particles in particle-laden flows
- 基于多相机图像重建颗粒三维位置与取向，利用已知形状进行追踪。
- 算法可同时跟踪多个不同形状颗粒，误差可控且对噪声不敏感。
- 适用于静止与湍流环境，适合流体力学、材料科学等领域的粒子研究。
针对各向异性颗粒，提出一种基于多相机（高速）拍摄的三维位置与取向追踪方法。通过不同视角的图像，结合颗粒已知几何形状，实现其三维空间位置和取向的重建。该算法可连续追踪多个颗粒的位置与取向变化，支持对颗粒分布、取向及旋转统计的深入分析。通过合成图像测试，量化了方法在噪声、图像尺寸、相机数量及布局条件下的鲁棒性与误差表现。在静止与湍流流体中的多个实验中验证了该方法的有效性与广泛适用性。结果表明，该方法适用于多种颗粒形状，能同时追踪多个颗粒，并可区分不同类型的颗粒。
原文摘要 · Abstract (English)
A method for particle orientation tracking is developed and demonstrated specifically for anisotropic particles. Using (high-speed) multi-camera recordings of anisotropic particles from different viewpoints, we reconstruct the 3D location and orientation of these particles using their known shape. This paper describes an algorithm which tracks the location and orientation of multiple anisotropic particles over time, enabling detailed investigations of location, orientation, and rotation statistics. The robustness and error of this method is quantified, and we explore the effects of noise, image size, the number of used cameras, and the camera arrangement by applying the algorithm to synthetic images. We showcase several use-cases of this method in several experiments (in both quiescent and turbulent fluids), demonstrating the effectiveness and broad applicability of the described tracking method. The proposed method is shown to work for widely different particle shapes, successfully tracks multiple particles simultaneously, and the method can distinguish between different types of particles.
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