| Discontinuity-preserving optical flow algorithm |
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| 作者单位： | Yuan Lei（Harbin Inst. of Technology, Harbin 150001, P.R.China） ;
Li Jinzong（Harbin Inst. of Technology, Harbin 150001, P.R.China） ;
Li Dongdong（Harbin Inst. of Technology, Harbin 150001, P.R.China） ; |
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| 摘 要： | A modification of Horn and Schunk's approach is investigated, which leads to a better preservation of flow discontinuities. It improves Horn-Schunk model in three aspects: (1) It replaces the smooth weight coefficient in the energy equation by the variable weight coefficient. (2) It adopts a novel method to compute the mean velocity. The novel method also reflects the effect of the intensity difference on the image velocity diffusion. (3) It introduces a more efficient iterative method than the Ganss-Seidel method to solve the associated Euler-Lagrange equation. The experiment results validate the better effect of the improved method on preserving discontinuities.
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| 收稿时间： | 9 December 2005 |
Discontinuity-preserving optical flow algorithm |
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| Authors: | Yuan Lei Li Jinzong Li Dongdong |
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| Institution: | Harbin Inst. of Technology, Harbin 150001, P.R.China |
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| Abstract: | A modification of Horn and Schunk's approach is investigated, which leads to a better preservation of flow discontinuities. It improves Horn-Schunk model in three aspects: (1) It replaces the smooth weight coefficient in the energy equation by the variable weight coefficient. (2) It adopts a novel method to compute the mean velocity. The novel method also reflects the effect of the intensity difference on the image velocity diffusion. (3) It introduces a more efficient iterative method than the Ganss-Seidel method to solve the associated Euler-Lagrange equation. The experiment results validate the better effect of the improved method on preserving discontinuities. |
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| Keywords: | Optical flow Image sequences Differential methods PNSR |
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