Table 4.
Number of points (Npoints) and computational cost (Time [s]) for each of the 10 reconstructed 3D vessel clouds considered for evaluating the 3D reconstruction algorithm. Median values are reported, too. The values are reported for the proposed algorithm and for the 3D reconstruction performed with speeded up robust features (SURF) [3] and the fast library for approximate nearest neighbors (FLANN) [48]. Significant differences were found when comparing Npoints computed with the proposed approach and with SURF and FLANN (Wilcoxon signed-rank test (significance level = 0.05)).
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | Median | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Npoints (SURF + FLANN) | 4 | 9 | 23 | 31 | 15 | 11 | 16 | 14 | 1 | 10 | 12.5 |
| Time [s] (SURF + FLANN) | 0.10 | 0.10 | 0.11 | 0.13 | 0.10 | 0.11 | 0.13 | 0.11 | 0.11 | 0.12 | 0.11 |
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| Npoints (Proposed) | 10906 | 15190 | 12058 | 19654 | 17710 | 19186 | 14362 | 16630 | 17746 | 21778 | 17170 |
| Time [s] (Proposed) | 0.53 | 0.47 | 0.47 | 0.66 | 0.45 | 0.49 | 0.44 | 0.54 | 0.64 | 0.38 | 0.48 |