TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Wu, Fei
A1  - Zhu, Xinjuan
A1  - Wu, Xiaojun
A1  - Rätsch, Matthias
T1  - Aesthetic classification of face images based on convolutional neural network model
JF  - Journal of Xi'an Polytechnic University
N2  - Aimed at the problem that the accuracy of face image classification in complex environment is not high, a network model F-Net suitable for aesthetic classification of face images is proposed. Based on LeNet-5, the model uses convolutional layers to extract facial image features in complex backgrounds, optimized parameters in the network model, and changes the number of convolutional layers and fully connected layer feature elements in the model. The experimental results show that the F-Net network model proposed in this paper has a face image classifation accuracy of 73% in complex environment background, which is better than other classical convolutional neural network classification models.
KW  - convolutional neural network
KW  - LeNet-5
KW  - face recognition
KW  - aesthetic classification
KW  - image processing
Y1  - 2019
SN  - 1674-649X
SS  - 1674-649X
U6  - https://doi.org/10.13338/j.issn.1674-649X.2019.06.014
DO  - https://doi.org/10.13338/j.issn.1674-649X.2019.06.014
VL  - 33
IS  - 6
SP  - 673
EP  - 678
S1  - 7
PB  - Xi'an Polytechnic University
CY  - Xi'an
ER  -