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A NEW NUMERICAL METHOD FOR LEVEL SET MOTION IN NORMAL DIRECTION USED IN OPTICAL FLOW ESTIMATION

机译:光流量估计正常方向上水平设定运动的新数值方法

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摘要

We present a new numerical method for the solution of level setadvection equation describing a motion in normal direction for which the speedis given by the sign function of the difference of two given functions. Takingone function as the initial condition, the solution evolves towards the secondgiven function. One of possible applications is an optical ow estimation tofind a deformation between two images in a video sequence. The new numericalmethod is based on a bilinear interpolation of discrete values as used for therepresentation of images. Under natural assumptions, it ensures a monotonedecrease of the absolute difference between the numerical solution and thetarget function, and it handles properly the discontinuity in the speed due tothe dependence on the sign function. To find the deformation between twofunctions (or images), the backward tracking of characteristics is used. Twonumerical experiments are presented, one with an exact solution to show anexperimental order of convergence and one based on two images of lungs toillustrate a possible application of the method for the optical ow estimation.
机译:我们提出了一种新的级别解决方案的数值方法平行方程描述速度正常方向的运动由两个给定功能的符号函数给出。服用一个功能作为初始条件,解决方案向第二个演变给定函数。一个可能的应用是光学估计在视频序列中找到两个图像之间的变形。新的数值方法基于用于离散值的双线性插值图像的表示。在自然的假设下,它确保了单调数值溶液与数值差异的降低目标函数,它掌握了速度的不连续性对符号功能的依赖性。找到两个之间的变形功能(或图像),使用特征的后向跟踪。二提出了数值实验,一个具有精确的解决方案来显示融合的实验顺序与肺部两张图像说明了光学方法的可能应用估计。

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