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Illumination invariant feature-based motion estimation

机译:照明不变特征的运动估计

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Illumination variance will reduce the correctness of motion estimation result. To improve ME algorithms' robustness, some algorithms have been proposed. All those algorithms are based on the intensity illumination models and many important color information are ignored. Therefore, in this paper, starting from the color reflection model, we propose a novel illumination invariant feature named NACD. Based on NACD, the improved ME algorithm, FC-ME, is designed to deal with the illumination variant image sequences. The experiments indicate that with the acceptable additional operations, the new algorithm's robustness to illumination variance is improved obviously.
机译:照明方差将降低运动估计结果的正确性。为了提高ME算法的稳健性,已经提出了一些算法。所有这些算法都基于强度照明模型,并且忽略了许多重要的颜色信息。因此,在本文从彩色反射模型开始,我们提出了一个名为NACD的新照明不变特征。基于NACD,改进的ME算法FC-ME,旨在处理照明变体图像序列。实验表明,随着可接受的额外操作,新算法对照明方差的鲁棒性显而降。

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