Figure S7. 2D and 3D radar distributions of expression-feature mutual information (MI). The MI quantitatively measures the mutual dependency between the distribution of 3D and 2D facial features (dpi-pj ) and the distribution of expression classes (0 or 1), classified through the MLP. The MI values from the 3D facial features exhibit a distinct and high mutual dependence for each facial expression, whereas those from the 2D features have an overlapped and low mutual dependence between other facial expressions except sadness. The four dominant mutual information values of both 3D and 2D facial features are normalized. More specific, the top 10 dominant features of each expression are as follows:
Happiness - dp0-p6 ,dp9-p10 , dp6-p10 ,dp5-p10 , dp7-p10 ,dp0-p7 , dp2-p12 ,dp2-p7 , dp9-p11 ,