A Female Glasses Fitting Model Based on Neural Network

Abstract:

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.

• Periodical: Key Engineering Materials (Volume 450)
• Pages: 530-533
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.450.530
• Online since: November 2010
• Authors: Sei Wo Winger Tseng, Hung Cheng Tsai
• Keywords: Female Contour Features, Glasses Fitting, Neural Network (NN)

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