基于各向异性算子的保持不连续光流

Muzammil Khan, Pushpendra Kumar
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引用次数: 0

摘要

变分模型是估计两帧图像间光流的常用方法,它能产生最精确的流场。变分模型中更多的保真项使估计具有鲁棒性。本文提出了一种利用最大整数和指数函数来估计平均流速的各向异性算子。这将有助于保持光流的不连续,并在均匀区域上提供显著的平滑流。该算子的设计源于基于像素强度差异的各向同性算子。这被用于控制流的传播。在各种光谱数据集上的定性和定量结果验证了我们算法的准确性和鲁棒性。
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Discontinuity Preserving Optical Flow Based on Anisotropic Operator
Variational models are more popular approaches in the estimation of optical flow between two image frames and yield the most accurate flow fields. More fidelity terms in the variational model makes the estimation robust. This paper proposed an anisotropic operator which is designed using the greatest integer and an exponential function to estimate average flow velocity. This will help to preserve discontinuity in the optical flow and provides a significant smooth flow over a uniform region. The design of this operator is motivated from an isotropic operator that is based on the intensity differences of the pixels. This is employed in the controlling of flow propagation. The validation of the accuracy and robustness of our algorithm is provided in terms of qualitative and quantitative results on a variety of spectrum datasets.
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