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Estimation of Scene Flow based on the Warping Theory

机译:基于翘曲理论的场景流估计

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Computation of scene flow combines three assumptions for which the energy functional is studied: assumption for brightness constancy and constancy of gradient, and a preservation of discontinuity for spatio-temporal smoothness limitation. Linearization of two data terms is sternly evaded in order to permit an enormous shift. We are presenting a numerical proposal in uniform, for the nested two point iterations. Here we provide a foundation for warping which is theoretical and is based on experimental uses. From our results, this method is better than previously used techniques of scene flow estimation, since it is considerably small angular errors. This method is also moderately indifferent to various factors and provides admirable robustness with noise.
机译:场景流的计算结合了研究能量函数的三个假设:亮度恒定和梯度恒定的假设,以及保留时空平滑度限制的不连续性。严谨地避免了两个数据项的线性化,以实现巨大的转换。我们为嵌套的两点迭代提供统一的数值建议。在此,我们为理论上的翘曲提供了基础,并基于实验用途。从我们的结果来看,该方法比以前使用的场景流估计技术要好,因为它的角度误差很小。这种方法对各种因素也无所谓,并提供了令人赞叹的鲁棒性和噪声。

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