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Table 1 User-defined parameters of the energy function \(\mathbf E \), together with their description, values interval and default value

From: Multi-view Performance Capture of Surface Details

Parameter Description Values int. Def.
\(w_{reg}\) Regularization weight [0, 1] \(5e^{-7}\)
\(w_{temp}\) Temporal weight [0, 1] \(1e^{-7}\)
\(\sigma _s\) Standard deviation, \(\forall G_s\) \((0,\infty )\), [mm] 5
\(T_{qt}\) Quad-tree depth threshold \([0,log_2(I^{W,H}) ]\) 9
\(T_{fuse}\) Color similarity for fusion threshold \([0,\infty )\) 0.05
\(T_{color}\) Color similarity threshold \([0,\infty )\) 0.15
\(T_{dist}\) Threshold on pixel distance \([0,\infty )\), [px] 30
\({\varDelta }_d\) Max geodesic distance \([0,\infty )\), \([\# edges]\) 2
  1. The quad-tree depth threshold \(T_{qt}\) and color similarity threshold \(T_{fuse}\) are used to subdivide the input 2D images as described in Sect. 4.2 and find the Image Gaussians \(G_i\). \(T_{qt}\) can be at most the logarithm in base 2 of the minimum among the image width \(I^W\) and the image height \(I^H\), expressed as \(log_2(I^{W,H})\). The thresholds on color \(T_{color}\) and pixel distance \(T_{dist}\) between Surface \(G_s\) and Image Gaussians \(G_i\) define for each \(G_s\) the subset of \(G_i\) against which the similarity function is evaluated, excluding less contributing Image Gaussians (see Sect. 5.4)