利用三维样条微分法计算定量光流

The 3rd Canadian Conference on Computer and Robot Vision (CRV'06) Pub Date : 2006-06-07 DOI:10.1109/CRV.2006.84

J. Barron, M. Daniel, J. Mari

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引用次数: 1

摘要

我们表明，通过将b样条拟合到包含图像序列的时空强度数据上的分化，与通过Simoncelli平衡/匹配滤波器计算的结果相比，至少可以提供相同且通常更好的2D Lucas和Kanade光流。

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Using 3D Spline Differentiation to Compute Quantitative Optical Flow

We show that differentiation via fitting B-splines to the spatio-temporal intensity data comprising an image sequence provides at least the same and usually better 2D Lucas and Kanade optical flow than that computed via Simoncelli’s balanced/matched filters.

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The 3rd Canadian Conference on Computer and Robot Vision (CRV'06)

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