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69

CRV
2006
IEEE

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Using 3D Spline Differentiation to Compute Quantitative Optical Flow

15 years 21 days ago

Using 3D Spline Differentiation to Compute Quantitative Optical Flow

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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.

John L. Barron, Marc Daniel, Jean-Luc Mari

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Better 2d Lucas | CRV 2006 | Fitting B-splines | Robotics | Spatio-temporal Intensity Data |

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Added	13 Oct 2010
Updated	13 Oct 2010
Type	Conference
Year	2006
Where	CRV
Authors	John L. Barron, Marc Daniel, Jean-Luc Mari

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