Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0573097 | 0.13831 | 0.116578 | 0.3445 | 0.281199 | 0.26532 | 0.234603 |
Maximal Error | 0.188632 | 0.581892 | 0.57101 | 0.886754 | 1.19797 | 1.07303 | 0.892359 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0505477 | 0.170648 | 0.110893 | 0.330582 | 0.285128 | 0.262108 | 0.301264 |
Maximal Error | 0.131774 | 0.642494 | 0.580758 | 0.942407 | 1.30108 | 1.08136 | 0.987812 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0600369 | 0.118451 | 0.0984193 | 0.361627 | 0.229285 | 0.260076 | 0.160611 |
Maximal Error | 0.179963 | 0.724471 | 0.428178 | 0.750692 | 0.867366 | 0.968073 | 0.717774 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0881187 | 0.0301913 | 0.0661144 | 0.0399024 | 0.123181 | 0.11211 | 0.176599 |
Maximal Error | 0.911857 | 0.162134 | 0.416678 | 0.167548 | 0.864636 | 1.03114 | 0.907654 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.064724 | 0.158807 | 0.141267 | 0.190753 | 0.264398 | 0.241203 | 0.205201 |
Maximal Error | 0.143598 | 0.556819 | 0.682002 | 0.633355 | 1.34514 | 1.25151 | 0.877666 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0635158 | 0.105646 | 0.127571 | 0.543864 | 0.387112 | 0.395543 | 0.234578 |
Maximal Error | 0.14596 | 0.482478 | 0.535391 | 1.08556 | 1.14211 | 1.12287 | 1.01908 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.076602 | 0.131228 | 0.135833 | 0.695097 | 0.277846 | 0.316784 | 0.0862432 |
Maximal Error | 0.161278 | 0.958349 | 0.547887 | 1.26828 | 0.93555 | 0.93555 | 0.224044 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0838149 | 0.21734 | 0.140944 | 0.386756 | 0.313157 | 0.331781 | 0.0999866 |
Maximal Error | 0.166055 | 1.06802 | 0.566193 | 0.709032 | 1.12742 | 1.12742 | 0.280137 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0425602 | 0.0726083 | 0.151713 | 0.468255 | 0.272119 | 0.131006 | 0.302668 |
Maximal Error | 0.088788 | 0.173285 | 0.651772 | 1.47554 | 1.35844 | 0.852323 | 1.51583 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0591559 | 0.221351 | 0.119238 | 0.215392 | 0.385595 | 0.36393 | 0.483591 |
Maximal Error | 0.131605 | 0.674557 | 0.621784 | 0.854551 | 1.44896 | 1.44896 | 1.39708 |
Algorithm -------- Value |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven |
Average Error | 0.0425602 | 0.0726083 | 0.151713 | 0.468255 | 0.272119 | 0.131006 | 0.302668 |
Maximal Error | 0.088788 | 0.173285 | 0.651772 | 1.47554 | 1.35844 | 0.852323 | 1.51583 |
Blended | Mobius Voting | Best Conformal | GMDS | HKM 1 corr | HKM 2 corrs | Deform. Driven | |
mesh059_to_mesh052 | Ave=0.0446913 Max=0.138522 Dense |
Ave=0.119665 Max=0.886114 Dense Sparse |
Ave=0.128115 Max=0.614296 Dense |
Ave=0.481081 Max=1.33487 Dense Sparse |
Ave=0.369679 Max=1.31814 Dense Sparse |
Ave=0.32524 Max=1.31814 Dense Sparse |
Ave=0.356745 Max=1.33482 Dense Sparse |
mesh015_to_mesh054 | Ave=0.048609 Max=0.135507 Dense |
Ave=0.075065 Max=0.576847 Dense Sparse |
Ave=0.0841971 Max=0.456078 Dense |
Ave=0.0616341 Max=0.214882 Dense Sparse |
Ave=0.177082 Max=1.37299 Dense Sparse |
Ave=0.103392 Max=0.558217 Dense Sparse |
Ave=0.0853492 Max=0.483403 Dense Sparse |
mesh019_to_mesh035 | Ave=0.033521 Max=0.119815 Dense |
Ave=0.053549 Max=0.214706 Dense Sparse |
Ave=0.145052 Max=0.682166 Dense |
Ave=0.115682 Max=0.360398 Dense Sparse |
Ave=0.18284 Max=1.15973 Dense Sparse |
Ave=0.0888242 Max=0.436415 Dense Sparse |
Ave=0.0823105 Max=0.244695 Dense Sparse |
mesh054_to_mesh031 | Ave=0.0604929 Max=0.12815 Dense |
Ave=0.066676 Max=0.224938 Dense Sparse |
Ave=0.0977108 Max=0.597927 Dense |
Ave=0.791176 Max=1.7056 Dense Sparse |
Ave=0.161304 Max=1.10289 Dense Sparse |
Ave=0.146374 Max=1.10289 Dense Sparse |
Ave=0.175939 Max=0.785603 Dense Sparse |
mesh023_to_mesh071 | Ave=0.0482081 Max=0.137216 Dense |
Ave=0.436881 Max=1.24574 Dense Sparse |
Ave=0.0827017 Max=0.471269 Dense |
Ave=0.433721 Max=1.272 Dense Sparse |
Ave=0.333801 Max=1.25591 Dense Sparse |
Ave=0.443062 Max=1.25591 Dense Sparse |
Ave=0.441322 Max=1.272 Dense Sparse |
cat5_to_cat4 | Ave=0.0410288 Max=0.211654 Dense |
Ave=0.112301 Max=0.698762 Dense Sparse |
Ave=0.0780366 Max=0.442848 Dense |
Ave=0.0646213 Max=0.321743 Dense Sparse |
Ave=0.152212 Max=0.774895 Dense Sparse |
Ave=0.188559 Max=0.976309 Dense Sparse |
Ave=0.0847884 Max=0.401388 Dense Sparse |
centaur2_to_centaur0 | Ave=0.0881187 Max=0.911857 Dense |
Ave=0.0301913 Max=0.162134 Dense Sparse |
Ave=0.0661144 Max=0.416678 Dense |
Ave=0.0399024 Max=0.167548 Dense Sparse |
Ave=0.123181 Max=0.864636 Dense Sparse |
Ave=0.11211 Max=1.03114 Dense Sparse |
Ave=0.176599 Max=0.907654 Dense Sparse |
horse7_to_horse15 | Ave=0.0332361 Max=0.113399 Dense |
Ave=0.0517029 Max=0.195148 Dense Sparse |
Ave=0.128531 Max=0.820997 Dense |
Ave=0.220048 Max=0.951636 Dense Sparse |
Ave=0.168133 Max=1.38086 Dense Sparse |
Ave=0.128501 Max=1.11576 Dense Sparse |
Ave=0.177042 Max=0.920686 Dense Sparse |
dog6_to_dog1 | Ave=0.0415944 Max=0.143045 Dense |
Ave=0.071071 Max=0.399645 Dense Sparse |
Ave=0.114695 Max=0.552157 Dense |
Ave=0.699162 Max=1.27839 Dense Sparse |
Ave=0.578387 Max=1.13122 Dense Sparse |
Ave=0.606707 Max=1.0893 Dense Sparse |
Ave=0.14247 Max=0.646989 Dense Sparse |
wolf1_to_wolf2 (Excluded) |
Ave=0.0090194 Max=0.117985 Dense |
Ave=0.0172345 Max=0.184186 Dense Sparse |
Ave=0.0444595 Max=0.347069 Dense |
Ave=0.23022 Max=0.808214 Dense Sparse |
Ave=0.199332 Max=0.969005 Dense Sparse |
Ave=0.195465 Max=0.969005 Dense Sparse |
XXX |
horse10_to_393 | Ave=0.0910279 Max=0.170832 Dense |
Ave=0.303451 Max=1.1777 Dense Sparse |
Ave=0.146055 Max=0.584499 Dense |
Ave=0.0784146 Max=0.149784 Dense Sparse |
Ave=0.348469 Max=1.31928 Dense Sparse |
Ave=0.346778 Max=1.31928 Dense Sparse |
Ave=0.11373 Max=0.336231 Dense Sparse |
390_to_dog6 (Excluded) |
Ave=0.0995078 Max=0.311063 Dense |
Ave=0.306097 Max=1.1814 Dense Sparse |
Ave=0.763194 Max=1.41119 Dense |
Ave=0.723161 Max=1.41283 Dense Sparse |
Ave=0.44962 Max=1.35542 Dense Sparse |
Ave=0.311042 Max=1.35542 Dense Sparse |
XXX |
wolf2_to_394 | Ave=0.076602 Max=0.161278 Dense |
Ave=0.131228 Max=0.958349 Dense Sparse |
Ave=0.135833 Max=0.547887 Dense |
Ave=0.695097 Max=1.26828 Dense Sparse |
Ave=0.277846 Max=0.93555 Dense Sparse |
Ave=0.316784 Max=0.93555 Dense Sparse |
Ave=0.0862432 Max=0.224044 Dense Sparse |
dog1_to_horse15 | Ave=0.069908 Max=0.146562 Dense |
Ave=0.121267 Max=0.29761 Dense Sparse |
Ave=0.149216 Max=0.640509 Dense |
Ave=0.273797 Max=0.798644 Dense Sparse |
Ave=0.276593 Max=1.33528 Dense Sparse |
Ave=0.248329 Max=1.31948 Dense Sparse |
Ave=0.324831 Max=1.37608 Dense Sparse |
cat8_to_dog1 | Ave=0.0790449 Max=0.148273 Dense |
Ave=0.124601 Max=0.75018 Dense Sparse |
Ave=0.118802 Max=0.413508 Dense |
Ave=0.658632 Max=1.17964 Dense Sparse |
Ave=0.306357 Max=0.959836 Dense Sparse |
Ave=0.331594 Max=0.959836 Dense Sparse |
Ave=0.236433 Max=1.03416 Dense Sparse |
mesh032_to_gorilla8 (Excluded) |
Ave=0.0759735 Max=0.164031 Dense |
Ave=0.469984 Max=1.27268 Dense Sparse |
Ave=0.169726 Max=0.704079 Dense |
Ave=0.284784 Max=1.2479 Dense Sparse |
Ave=0.682394 Max=1.3895 Dense Sparse |
Ave=0.709497 Max=1.39468 Dense Sparse |
XXX |
mesh036_to_david10 | Ave=0.0598786 Max=0.117699 Dense |
Ave=0.0671791 Max=0.247183 Dense Sparse |
Ave=0.125132 Max=0.614195 Dense |
Ave=0.351134 Max=1.51924 Dense Sparse |
Ave=0.398818 Max=1.41947 Dense Sparse |
Ave=0.391885 Max=1.41947 Dense Sparse |
Ave=0.799236 Max=1.63609 Dense Sparse |
michael13_to_victoria0 | Ave=0.0425602 Max=0.088788 Dense |
Ave=0.0726083 Max=0.173285 Dense Sparse |
Ave=0.151713 Max=0.651772 Dense |
Ave=0.468255 Max=1.47554 Dense Sparse |
Ave=0.272119 Max=1.35844 Dense Sparse |
Ave=0.131006 Max=0.852323 Dense Sparse |
Ave=0.302668 Max=1.51583 Dense Sparse |
michael5_to_9 (Excluded) |
Ave=0.0570346 Max=0.152548 Dense |
Ave=0.600276 Max=1.49913 Dense Sparse |
Ave=0.495051 Max=1.66555 Dense |
Ave=0.133005 Max=0.265212 Dense Sparse |
Ave=0.424859 Max=1.54784 Dense Sparse |
Ave=0.334144 Max=1.55909 Dense Sparse |
XXX |
mesh003_to_david6 | Ave=0.0584333 Max=0.14551 Dense |
Ave=0.375523 Max=1.10193 Dense Sparse |
Ave=0.113345 Max=0.629374 Dense |
Ave=0.0796494 Max=0.189862 Dense Sparse |
Ave=0.372371 Max=1.47845 Dense Sparse |
Ave=0.335976 Max=1.47845 Dense Sparse |
Ave=0.167946 Max=1.15807 Dense Sparse |
390_to_dog6 (1) | mesh032_to_gorilla8 (1) | michael5_to_9 (1) | wolf1_to_wolf2 (1) |