《Table 3 Gender classification results based on geodesic distances》

  提示：宽带有限、当前游客访问压缩模式

本系列图表出处文件名：随高清版一同展现

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

1. 获取 高清版本忘记账户？点击这里登录

1. 下载图表忘记账户？点击这里登录

As is clear from Fig.7，the optimal result was obtained using a bin size of 5 for both the nose and lower lip/chin regions，10 for the forehead/eyes region，and 15 for the upper lip region.With these bin sizes，the overall gender recognition accuracy was87.3%，much higher than achieved in Experiments 1and 2.Table 4 shows the accuracy，sensitivity，and specificity obtained for all facial regions using the geodesic path curvature feature descriptors.