Oriented geodesic distance based non-local regularisation approach for optic flow estimation

Shan Yu, D. Molloy
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Abstract

Optical flow (OF) estimation needs spatial coherence regularisation, due to local image noise and the well-known aperture problem. More recently, OF local-region regularisation has been extended to larger or non-local region of regularisation to further deal with the aperture problem. After careful literature review, it has been determined that the criteria used for deciding the degree of motion coherence can be further improved. For this reason, we propose an oriented geodesic distance based motion regularisation scheme. The proposed approach is particular useful in reducing errors in estimating motions along object boundaries, and recovering motions for nearby objects with similar appearance. Experiment results, compared to leading-edge non-local regularisation schemes, have confirmed the superior performance of the proposed approach.
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基于定向测地线距离的非局部正则化光流估计方法
由于局部图像噪声和众所周知的孔径问题,光流估计需要空间相干正则化。近年来,OF局部区域正则化已扩展到更大或非局部区域的正则化,以进一步处理孔径问题。经过仔细的文献回顾,已经确定用于决定运动连贯程度的标准可以进一步改进。为此,我们提出了一种基于定向测地线距离的运动正则化方案。该方法在减少沿目标边界估计运动的误差和恢复具有相似外观的附近目标的运动方面特别有用。实验结果表明,与非局部正则化方法相比,该方法具有较好的性能。
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