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Highly accurate optic flow computation with theoretically justified warping

机译:具有理论上合理的翘曲的高精度光流计算

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摘要

In this paper, we suggest a variational model for optic flow computation based on non-linearised and higher order constancy assumptions. Besides the common grey value constancy assumption, also gradient constancy, as well as the constancy of the Hessian and the Laplacian are proposed. Since the model strictly refrains from a linearisation of these assumptions, it is also capable to deal with large displacements. For the minimisation of the rather complex energy functional, we present an efficient numerical scheme employing two nested fixed point iterations. Following a coarse-to-fine strategy it turns out that there is a theoretical foundation of so-called warping techniques hitherto justified only on an experimental basis. Since our algorithm consists of the integration of various concepts, ranging from different constancy assumptions to numerical implementation issues, a detailed account of the effect of each of these concepts is included in the experimental section. The superior performance of the proposed method shows up by significantly smaller estimation errors when compared to previous techniques. Further experiments also confirm excellent robustness under noise and insensitivity to parameter variations.
机译:在本文中,我们提出了一种基于非线性和高阶恒定性假设的光流变分模型。除了常见的灰度值恒定性假设之外,还提出了梯度恒定性以及Hessian和Laplacian的恒定性。由于该模型严格限制了这些假设的线性化,因此它也能够处理大位移。为了最小化相当复杂的能量函数,我们提出了一种有效的数值方案,该方案采用了两个嵌套的定点迭代。遵循从粗到精的策略,事实证明,迄今仅在实验基础上才有所谓的翘曲技术的理论基础。由于我们的算法由各种概念的集成组成,从不同的恒定性假设到数值实现问题,因此在实验部分将详细介绍这些概念的作用。与以前的技术相比,该方法的优越性能表现出明显较小的估计误差。进一步的实验还证实了在噪声和对参数变化不敏感的情况下具有出色的鲁棒性。

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