Research Article
Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering
Table 2
Accuracy (
) of five algorithms in the 15 datasets synthesised.
| Dataset | SSC | EnSC | k-SSC | SSSC | MNR_S |
| Three objects | Shark+dance+yoga (207) | 0.992 | 1.000 | 0.903 | 0.928 | 0.993 | Yoga+stretch+pickup (123) | 0.919 | 0.959 | 0.920 | 0.903 | 0.986 | Dance+pickup+stretch (157) | 0.828 | 0.942 | 0.940 | 0.890 | 0.987 | Shark+walking+drink (187) | 1.000 | 0.983 | 0.968 | 0.902 | 0.989 | Dance+yoga+drink (157) | 0.917 | 0.920 | 0.902 | 0.886 | 0.980 |
| Four objects | Shark+dance+yoga+walking (262) | 1.000 | 0.996 | 0.901 | 0.907 | 0.980 | Dance+stretch+pickup+shark (248) | 0.714 | 0.810 | 0.779 | 0.800 | 0.968 | Walking+face+pickup+drink (174) | 0.701 | 0.850 | —— | 0.813 | 0.948 | Dance+yoga+drink+walking (212) | 0.755 | 0.780 | —— | 0.834 | 0.984 | Dance+yoga+stretch+pickup (198) | 0.858 | 0.803 | 0.737 | 0.785 | 0.989 |
| Five objects | Shark+dance+yoga+pickup+walking(303) | 0.736 | 0.799 | 0.742 | 0.783 | 0.939 | Shark+yoga+pickup+stretch+dance (289) | 0.773 | 0.775 | —— | 0.757 | 0.980 | Shark+yoga+walking+drink+dance (303) | 0.731 | 0.791 | 0.751 | 0.698 | 0.970 | Dance+yoga+stretch+pickup+walking (253) | 0.731 | 0.704 | 0.681 | 0.708 | 0.964 | Drink+walking+yoga+pickup+stretch(219) | 0.739 | 0.794 | —— | 0.750 | 0.937 |
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