论文标题
通过使用激光斑点模式的低维嵌入对象表面的密集像素微动估计
Dense Pixel-wise Micro-motion Estimation of Object Surface by using Low Dimensional Embedding of Laser Speckle Pattern
论文作者
论文摘要
本文提出了一种估计每个像素上物体微动的方法，该物体太小，无法在常见的相机设置和照明设置下检测到。该方法引入了一种主动光方法，以使运动在视觉上可检测到。该方法基于斑点图案，该图案是由激光在物体表面上的相互干扰产生的，并根据表面的平面外运动不断改变其外观。另外，斑点图案与大型运动无关。为了补偿这种微运动和大型运动，该方法通过将斑点模式的非线性嵌入到低维空间中的非线性嵌入来估计每个像素的运动参数。平面外运动是通过使运动参数在整个图像上保持空间一致来计算的。在实验中，将提出的方法与其他测量设备进行比较，以证明该方法的有效性。
This paper proposes a method of estimating micro-motion of an object at each pixel that is too small to detect under a common setup of camera and illumination. The method introduces an active-lighting approach to make the motion visually detectable. The approach is based on speckle pattern, which is produced by the mutual interference of laser light on object's surface and continuously changes its appearance according to the out-of-plane motion of the surface. In addition, speckle pattern becomes uncorrelated with large motion. To compensate such micro- and large motion, the method estimates the motion parameters up to scale at each pixel by nonlinear embedding of the speckle pattern into low-dimensional space. The out-of-plane motion is calculated by making the motion parameters spatially consistent across the image. In the experiments, the proposed method is compared with other measuring devices to prove the effectiveness of the method.
