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Face shape classification using Inception v3
[article]
2019
arXiv
pre-print
In this paper, we present experimental results obtained from retraining the last layer of the Inception v3 model in classifying images of human faces into one of five basic face shapes. The accuracy of the retrained Inception v3 model was compared with that of the following classification methods that uses facial landmark distance ratios and angles as features: linear discriminant analysis (LDA), support vector machines with linear kernel (SVM-LIN), support vector machines with radial basis
arXiv:1911.07916v1
fatcat:5hhmq5izjvgmtlcn7i4nzekrou