A Female Glasses Fitting Model Based on Neural Network
A neural network based approach for female eye glasses fitting suggestion is addressed in this article. The experimental results are analyzed by two stages of back-propagation neural network, which first categorize the Taiwan female faces, and then establish the relationships between adjective image words and female faces with different glasses. A female glasses fitting model was then developed based on these database. With the aid of the model, a glasses store or an electronic store can generate professional fitting opinions to its female customers after a practical ophthalmic dispensing. Although the system is mainly designed for a Taiwan female face, the method can be used to develop for other countries or products.
Daizhong Su, Qingbin Zhang and Shifan Zhu
S. W. W. Tseng and H. C. Tsai, "A Female Glasses Fitting Model Based on Neural Network", Key Engineering Materials, Vol. 450, pp. 530-533, 2011