Table 5 This table shows performance and comparisons, on the Shape Princeton Benchmark. Our method is shown in bold under the name MCC (see [4, 10, 34] and Table 7).
From: From 2D Silhouettes to 3D Object Retrieval: Contributions and Benchmarking
Methods | NN (%) | FT (%) | ST (%) | DCG (%) |
|---|---|---|---|---|
MCC 3 | 71.9 | 47.2 | 58.6 | 71.5 |
MCC 2 | 71.9 | 45.1 | 55.6 | 70.1 |
MCC 4 | 67.1 | 39.8 | 51 | 66.1 |
MCC 1 | 65.9 | 39.4 | 50.7 | 65.8 |
LFD | 65.7 | 38 | 48.7 | 64.3 |
EDBA | 65.4 | 38.3 | 49.8 | 64.1 |
AVC | 62 | 35.5 | 45.5 | 63 |
ESA | 57.8 | 32.6 | 44.4 | 60.2 |
REXT | 60.2 | 32.7 | 43.2 | 60.1 |
DBD | 59.2 | 32.9 | 41.8 | 58.9 |
SHD | 55.6 | 30.9 | 41.1 | 58.4 |
GEDT | 60.3 | 31.3 | 40.7 | 58.4 |
SIL | 52.8 | 28.5 | 38.8 | 56.3 |
EXT | 54.9 | 28.6 | 37.9 | 56.2 |
SECSHEL | 54.6 | 26.7 | 35 | 54.5 |
VOXEL | 54 | 26.7 | 35.5 | 54.3 |
SECTORS | 50.4 | 24.9 | 33.4 | 52.9 |
CEGI | 42 | 21.1 | 28.7 | 47.9 |
EGI | 37.7 | 19.7 | 27.7 | 47.2 |
D2 | 31.1 | 15.8 | 23.5 | 43.4 |
SHELLS | 22.7 | 11.1 | 17.3 | 38.6 |