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- W142362871 abstract "We present an improved version of the MSL method of Sugaya and Kanatani for multibody motion segmentation. We replace their initial segmentation based on heuristic clustering by an analytical computation based on GPCA, fitting two 2-D affine spaces in 3-D by the Taubin method. This initial segmentation alone can segment most of the motions in natural scenes fairly correctly, and the result is successively optimized by the EM algorithm in 3-D, 5-D, and 7-D. Using simulated and real videos, we demonstrate that our method outperforms the previous MSL and other existing methods. We also illustrate its mechanism by our visualization technique." @default.
- W142362871 created "2016-06-24" @default.
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- W142362871 date "2010-01-01" @default.
- W142362871 modified "2023-10-16" @default.
- W142362871 title "IMPROVED MULTISTAGE LEARNING FOR MULTIBODY MOTION SEGMENTATION" @default.
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- W142362871 doi "https://doi.org/10.5220/0002814601990206" @default.
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