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Local Descriptor Matching on 3DMatch 1.0 (test)

89.72Kitchen Scene PerformancePPFNet
-3.380820.789644.9669.1304Feb 7, 2018Mar 13, 2018Apr 16, 2018May 20, 2018Jun 23, 2018Jul 27, 2018Aug 30, 2018

Evaluation results

MethodLinks
PPFNetdescriptor dimension=642018.0289.7255.7759.1357.9657.6961.1153.4263.6462.31
PPF-FoldNetNumber of sample points=5K2018.0878.8578.2164.4267.769.2396.362.6767.5373.11
PPF-FoldNetNumber of sample points=2K2018.0873.5276.9262.0266.3760.5892.5956.1661.0468.65
PointNet2018.0271.1555.1353.8540.7128.8533.3343.1550.6547.1
3DMatch2018.0257.5173.7270.6757.0844.2362.9656.1654.5559.61
USC2018.0255.7332.0530.7753.5419.2331.4850.6846.7540.03
3DMatchsampling=2K2018.0252.9669.2362.0247.7942.3151.8539.0441.5650.85
CGF2018.0246.0561.5456.2544.6938.4659.2640.7535.0647.76
CGF2018.0844.6666.6752.8844.2544.2362.9641.7841.5649.87
FPFH2018.0230.6358.3346.6326.1132.695015.4127.2735.89
FPFH2018.0829.0558.9747.1230.0929.8151.8515.7528.5736.4
Spin Images2018.0219.3739.7436.5418.1420.1931.485.4810.3922.67
SHOT2018.0217.7937.1833.6520.822.1238.897.1912.9923.82
Spin Image2018.0817.7944.8734.1318.1417.3131.485.8211.6922.65
SHOT2018.0817.7935.2633.6521.6824.0433.338.2212.9923.37
FoldingNet2018.081.783.213.371.330.963.71.712.62.33
3DMatch2018.080.41.283.370.4400.9602.61.13
PPFNet2018.080.201.440.4400000.26