A Female Glasses Fitting Model Based on Neural Network

Abstract:

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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.

Info:

Periodical:

Edited by:

Daizhong Su, Qingbin Zhang and Shifan Zhu

Pages:

530-533

DOI:

10.4028/www.scientific.net/KEM.450.530

Citation:

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

Online since:

November 2010

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Price:

$35.00

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