Table 2 Results for different settings of alignment and pruning on the two datasets (W for Watertight, P for Princeton). The two rows shown in bold illustrate the performances of the best precision/runtime trade-off.
From: From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking
NN (%) | FT (%) | ST (%) | DCG (%) | ||
|---|---|---|---|---|---|
Align (None), 3 Views, Prun ( | W | 92.5 | 51.6 | 65.6 | 82.1 |
P | 60.4 | 30.5 | 41.8 | 60.1 | |
Align (NPCA), 3 Views, Prun ( | W | 93.5 | 60.7 | 71.9 | 86 |
P | 62.7 | 37.1 | 49.2 | 64.1 | |
Align (PCA), 3 Views, Prun ( | W | 94.7 | 61.5 | 72.8 | 86.5 |
P | 65.4 | 38.2 | 49.7 | 64.7 | |
Align (Our), 3 Views, Prun ( | W | 95.2 | 62.7 | 73.7 | 86.9 |
P | 67.1 | 39.8 | 51 | 66.1 | |
Align (Our), 9 Views, Prun ( | W | 95.2 | 65.3 | 75.6 | 88 |
P | 71.9 | 45.1 | 55.6 | 70.1 | |
Align (Our), 3 Views, Prun ( | W | 89.5 | 57.8 | 72.3 | 83.9 |
P | 60.5 | 34.5 | 47.2 | 61.8 | |
Align (Our), 3 Views, Prun ( | W | 95.5 | 62.8 | 73.7 | 86.9 |
P | 66.1 | 40.1 | 51 | 66 |
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