An Optical Flow Estimation Algorithm Using the Spatio-Temporal Hierarchical Structure (Special Issue on Image Processing and Understanding)

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概要

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• In this letter, we propose an algorithm to estimate the optical flow fields based on a hierarchical structure composed of spatio-temporal image pyramids obtained from repetitive application of the Gaussian filtering and decimation in both the spatial and temporal domain. In our approach, an inter-level motion smoothness constraint between adjacent pyramid levels is introduced to estimate a unique optical flow field. We show that the pyramid structure allows us to employ the multigrid algorithm, which is known to accelerate the convergence rate. The multigrid algorithm provides a scheme for efficient combination of local and global information to estimate the optical flow field. The experimental results reveal that the combination of local and global information yields a fast convergence behavior and accurate motion estimation results.

• 社団法人電子情報通信学会の論文
• 1993-04-25

著者

• Lee Sanguk

  Signal Processing Lab. Dept. Of Control And Instrumentation Engineering Seoul National University:au

• Hwang ShinHwan

  Signal Processing Lab., Dept. of Control and Instrumentation Engineering, Seoul National University

• Hwang Shinhwan

  Signal Processing Lab. Dept. Of Control And Instrumentation Engineering Seoul National University:au

関連論文

• An Optical Flow Estimation Algorithm Using the Spatio-Temporal Hierarchical Structure (Special Issue on Image Processing and Understanding)

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