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Table 2 SSIM of estimated depth on Middlebury datasets when cross-boundary scribbles are present

From: Robust semi-automatic 2D-to-3D image conversion via residual-driven optimization

  RW HGR NRW OPT OCP SDF 1 Proposed
Tsukuba 0.724 0.716 0.723 0.727 0.708 0.724 0.722 0.731
Venus 0.969 0.961 0.968 0.970 0.966 0.969 0.971 0.974
Teddy 0.861 0.846 0.865 0.862 0.860 0.861 0.868 0.865
Cones 0.900 0.871 0.900 0.902 0.850 0.897 0.885 0.903
Average 0.864 0.848 0.864 0.865 0.846 0.863 0.862 0.868
  1. The first and second best SSIM at each row are shown in bold and italics, respectively