Comments (1)
Esperimenti rifatti con voxel 0.1
FastGlobal RANSAC TEASER
median 0.75 Q 0.95 Q median 0.75 Q 0.95 Q median 0.75 Q 0.95 Q
sequence
plain 0.730811 1.484960 2.399119 5.925412 8.088510 12.319661 0.143611 1.219274 4.813108
stairs 0.254122 1.226971 6.070281 1.910952 3.862494 7.456906 0.054098 0.509922 4.470110
apartment 0.056928 0.127473 1.768756 0.104301 1.624185 4.164190 0.022643 0.044442 1.639830
hauptgebaude 0.553916 1.200290 2.007624 1.626735 2.823586 3.858842 0.557612 1.586275 2.149850
wood_autumn 0.299094 0.579406 1.924809 3.019468 4.065034 5.390479 0.056989 0.316361 2.263020
wood_summer 0.341591 0.590551 1.502385 2.875561 3.729510 5.233264 0.050229 0.220734 1.207203
gazebo_summer 0.227047 0.640210 1.731862 2.652830 3.557784 4.788850 0.026507 0.066457 1.366167
gazebo_winter 0.214307 0.474783 2.125453 3.026237 4.428520 5.850712 0.031009 0.079884 0.682774
box_met 7.708720 9.800427 13.720767 7.567951 10.841947 13.788829 7.336953 10.291823 14.348054
p2at_met 4.481200 7.635744 11.433413 8.854308 12.570445 17.480945 4.208118 7.642690 11.716318
planetary_map 29.687655 41.983847 67.268977 11.412726 15.671768 28.655312 45.915531 66.150559 97.649775
pioneer_slam 0.090558 0.205697 9.695994 0.097743 0.238907 1.446485 0.094829 0.195240 2.035767
pioneer_slam3 0.069285 0.117630 0.285867 0.064596 0.121680 0.353704 0.048614 0.079956 0.279686
long_office_household 0.112574 1.344159 11.158196 0.130467 0.306719 9.247781 0.104553 0.258837 2.377721
urban05 1.231172 1.841177 2.977049 2.464115 3.624928 5.165603 2.642255 3.710214 6.341209
Total 0.419299 2.068169 18.207501 2.551427 4.997697 13.187738 0.111914 1.949356 24.584664
from neural_registration_comparison.
Related Issues (20)
- Test di 3dSmoothNet
- Test di FPFH HOT 2
- Test di Fully Convolutional Geometric Features
- Bug script registration_from_features HOT 3
- Test di Predator HOT 12
- Test di PPFNet HOT 2
- Test di GenReg HOT 2
- Test Feature Metric Registration
- Aggiungere per ogni algoritmo delle misure di "efficienza" (tempo/memoria?) HOT 11
- Test di GeoTransformer HOT 7
- Test di RoReg
- Test di RoReg HOT 29
- Rifare test per misurare tempo/memoria
- Downsampling e preprocessing per esperimenti nuovi HOT 13
- 3DSmoothNet HOT 3
- FCGF HOT 3
- 3DFeatNet HOT 1
- FMR HOT 2
- Aggiungere scenario di test "robotico" HOT 9
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from neural_registration_comparison.