Optimal brightness functions for optical flow estimation of deformable motion
Optimal brightness functions for optical flow estimation of deformable motion
复制标题
用于变形运动光流估计的最佳亮度函数
DOI：
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复制
发表时间：
1994
影响因子：
10.6
通讯作者：
Jerry L Prince
中科院分区：
文献类型：
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作者：
T. Denney;Jerry L Prince
Horn和Schunck（1981）的经典光流算法的估计精度取决于许多因素，包括被测图像的亮度模式。由于一些应用程序可以选择亮度函数来“绘制”对象，因此需要知道什么模式将导致最佳运动估计。本文提出了一种方法，用于确定这种模式的先验使用温和的假设的速度场和成像过程。该方法是基于制定霍恩和Schunck的算法作为一个线性平滑和严格推导出相应的误差协方差函数的表达式。然后，作者指定了一个标量的性能指标，并开发了一种方法来选择一个最佳的亮度函数，最大限度地减少这个性能指标从一个参数化的类。给出了最优亮度函数存在的条件。所得到的最佳性能证明使用模拟，并讨论这些结果和潜在的未来研究。
Estimation accuracy of Horn and Schunck's (1981) classical optical flow algorithm depends on many factors including the brightness pattern of the measured images. Since some applications can select brightness functions with which to "paint" the object, it is desirable to know what patterns will lead to the best motion estimates. The paper presents a method for determining this pattern a priori using mild assumptions about the velocity field and imaging process. The method is based on formulating Horn and Schunck's algorithm as a linear smoother and rigorously deriving an expression for the corresponding error covariance function. The authors then specify a scalar performance measure and develop an approach to select an optimal brightness function which minimizes this performance measure from within a parametrized class. Conditions for existence of an optimal brightness function are also given. The resulting optimal performance is demonstrated using simulations, and a discussion of these results and potential future research is given.
影响因子：
19.7
作者：
MCVEIGH, ER;ZERHOUNI, EA
通讯作者：
ZERHOUNI, EA