The MG/OPT Algorithm for Dense Optical Flow
We introduce the use of optimization-based multigrid techniques for dense optical flow computation. In particular, we evaluate the performance of a multigrid optimization (MG/OPT) algorithm based on a line search strategy for large-scale optimization like truncated Newton. Our experimental tests have shown that the algorithm outperforms the truncated Newton method even implemented with a coarse to fine strategy.
Optical flow multigrid optimization multiresolution (coarse to fine) truncated Newton
El Mostafa Kalmoun Luis Garrido Vicent Caselles
Faculty of Quantitative Sciences, College of Arts and Sciences, Universiti Utara Malaysia, 06010 UUM Departament de Matematica Aplicada i Analisi, Universitat de Barcelona, Barcelona, Spain Departament de Tecnologia, Universitat Pompeu Fabra, Barcelona, Spain
国际会议
Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)
成都
英文
673-676
2011-04-15(万方平台首次上网日期,不代表论文的发表时间)