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Table 1 Statistics for the angular error between the normal maps recovered for various methods and the ground truth, for three synthesized datasets. All numbers are shown in degrees

From: Robust surface normal estimation via greedy sparse regression

  25 % Quantile Median Mean 75 % Quantile STD
Dataset Caesar
LS 4.669 8.586 9.672 14.32 5.875
LMS mode 1.313 6.769 8.148 13.46 7.620
LMS 1.335 2.692 3.700 4.305 4.242
IRL1 1.854 3.339 5.276 6.440 5.080
SBL 1.576 2.441 4.487 4.488 5.158
OMP 0.7571 2.624 2.424 2.690 3.332
Dataset Sphere
LS 7.255 12.23 13.55 20.79 7.566
LMS mode 1.658 4.939 6.211 9.907 4.901
LMS 2.588 3.601 3.261 4.030 1.103
IRL1 3.045 4.253 4.960 5.662 3.119
SBL 2.762 3.620 3.671 4.239 1.822
OMP 2.617 3.051 3.179 3.991 0.9324
Dataset Buddha
LS 9.039 14.03 15.29 20.19 8.25
LMS mode 7.304 14.70 17.42 25.03 13.79
LMS 1.985 4.736 8.454 6.391 15.35
IRL1 4.066 7.354 10.08 13.28 9.178
SBL 2.412 5.295 8.034 9.333 9.479
OMP 1.289 3.049 7.065 5.495 14.17