《Table 5 Results for different combinations of features for entire face》
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》
Our gender classification approach relies on biological landmarks as basic points to determine different classification features.Certain landmarks were used for each facial region to select Euclidean distance,geodesic distances,and geodesic path curvaturesfollowingtherecommendationsof Toma[27].The aim of this experiment was to determine the landmark pairs that define the best geodesic-curvature based features(as described above)for gender discrimination.To achieve this aim,the paths connecting landmarks were ranked according to their individual classification accuracies obtained with the best combination of features(geodesic distance and geodesic path curvatures)from Experiment 4.Table 6 ranks inter-landmark paths for each face region,while Fig.8 shows the three geodesic paths with the highest rank for each region.
图表编号 | XD0013092500 严禁用于非法目的 |
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绘制时间 | 2018.03.01 |
作者 | Hawraa Abbas、Yulia Hicks、David Marshall、Alexei I.Zhurov、Stephen Richmond |
绘制单位 | School of Engineering, Kerbala University、School of Engineering, Cardiff University、School of Engineering, Kerbala University、School of Computer Science and Informatics, Cardiff University、School of Dentistry,Cardiff University、School of Dentistry, Cardif |
更多格式 | 高清、无水印(增值服务) |