Motion Segmentation on Indoor Dataset Bears sequence 1.0 (test)
2.72Error RateBaseline
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Baselinenumber of motions (d)=3, number of images (n)=10, total number of image points (p)=158882019.05 | 2.72 | 29.8 | |
| MODEnumber of motions (d)=3, number of images (n)=10, total number of image points (p)=158882019.05 | 4.82 | 73.65 | |
| QuichMatch + Subsetnumber of motions (d)=3, number of images (n)=10, total number of image points (p)=158882019.05 | 35.21 | 63.12 | |
| StableSfM + Subsetnumber of motions (d)=3, number of images (n)=10, total number of image points (p)=158882019.05 | 38.13 | 99.58 | |
| StableSfM + RSIMnumber of motions (d)=3, number of images (n)=10, total number of image points (p)=158882019.05 | 49.48 | 99.58 | |
| QuichMatch + RSIMnumber of motions (d)=3, number of images (n)=10, total number of image points (p)=158882019.05 | 53.8 | 63.12 |