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Incorporating discontinuity preserving approach for optical flow estimation

机译:结合不连续性保留方法进行光流估计

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In this paper, we consider a modified variational energy functional for estimating optical flow from a sequence of images. The given functional incorporates the global variational model of Horn and Schunck(1981) and the classical model of Nagel and Enkelmann(1986) as a new regularisation functional, which efficiently preserve discontinuity in optical flow. In particular, the other significance of this work is in two aspects: (i) It uses a new diffusion model to estimate average velocities, which reflects the effect of the intensity difference. (ii) It uses a more efficient compensating iterative numerical scheme to achieve higher computational efficiency in order to solve the related Euler-Lagrange equations. Experimental evaluation on a given data sets (synthetic and real) present the robustness and accuracy of method and also validate the effect on discontinuity preserving.
机译:在本文中,我们考虑了一种改进的变分能量函数,用于从一系列图像中估计光流。给定的函数结合了Horn和Schunck(1981)的全局变分模型以及Nagel和Enkelmann(1986)的经典模型作为新的正则化函数,可以有效地保留光流的不连续性。特别地,这项工作的另一个意义在于两个方面:(i)它使用新的扩散模型来估计平均速度,这反映了强度差的影响。 (ii)为了解决相关的Euler-Lagrange方程,它使用了更有效的补偿迭代数值方案来实现更高的计算效率。在给定的数据集(合成的和真实的)上进行的实验评估显示了该方法的鲁棒性和准确性,并验证了对不连续性保存的影响。

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