人臉對齊演算法常用評價標準,人臉關鍵點的評價標準 人臉對齊演算法常用評價標準
阿新 • • 發佈:2018-11-16
原
3 the area-under-the-curve (
橫座標表示歸一化點與點間誤差ee時,LAB的失敗率為2.17%;另外圖中Error是指平均誤差(MNE),見方法2
人臉對齊演算法常用評價標準
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1 the inter-ocular distance normalized error
其中xixi也可以用兩外眼角間距離、人臉shape外接矩形對角線長度代替
2 the mean normalized error (MNE)
符號意義與上面相同,僅僅多了一項平均項
3 the area-under-the-curve ( AUCaAUCa)
AUCaAUCa值不像平均誤差那樣受單個點誤差較大而發生較大變化,非常敏感
詳見:https://blog.csdn.net/liweibin1994/article/details/79462554
4 the Cumulative Errors Distribution (CED) curve
CED與AUC有些類似,但又不同;如下圖(來自Look at Boundary論文)
橫座標表示歸一化點與點間誤差ee時,LAB的失敗率為2.17%;另外圖中Error是指平均誤差(MNE),見方法2