《Table 2 Gender classification results based on Euclidean distances》

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《A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features》

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The second experiment used geodesic distances to determine facial gender；many previous studies[16，68，69]suggested that geodesic distances may represent 3D models better than 3D Euclidean distances.Using the fast marching algorithm，33geodesic distances were calculated between a number of facial landmarks as shown in Fig.6.Gender classification results obtained with these features are shown in Table 3.