通过三维向量场分解，区分湍流扰动与真实运动物体。
Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields
- 用曲线波基拓展2D分解至3D向量场
- 在真实数据上成功分离湍流与移动目标
- 适合图像稳定与目标检测场景
本文研究大气湍流影响下移动物体的检测问题。提出一种几何时空点视角，证明可区分湍流引起的运动与真实物体运动。为此，将二维卡通+纹理分解算法扩展至三维向量场，基于曲线波空间更准确刻画运动流形结构。在真实数据上的实验验证了该方法的有效性。
原文摘要 · Abstract (English)
In this paper, we investigate how moving objects can be detected when images are impacted by atmospheric turbulence. We present a geometric spatio-temporal point of view to the problem and show that it is possible to distinguish movement due to the turbulence vs. moving objects. To perform this task, we propose an extension of 2D cartoon+texture decomposition algorithms to 3D vector fields. Our algorithm is based on curvelet spaces which permit to better characterize the movement flow geometry. We present experiments on real data which illustrate the efficiency of the proposed method.
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