Research on python-based regression model of female body measurement

Chang Ma; Zhengdong Liu; Boxiang Xiao

doi:10.1117/12.2637633

24 May 2022 Research on python-based regression model of female body measurement

Chang Ma, Zhengdong Liu, Boxiang Xiao

Author Affiliations +

Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 122601P (2022) https://doi.org/10.1117/12.2637633
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China

Abstract

In accordance with the problems of body measurement technology and difficulty in obtaining body samples for common consumers in large-scale customization of clothing, simulation body samples and the machine learning method with positive images were proposed to be adopted to predict the body data. Firstly, simulated shooting of positive images from different angles was conducted on the basis of 116 simulation body samples. In addition, characteristic parameters were obtained through extracting the body silhouette and identifying key points and multiple linear regression and neural networks were used to conduct the machine learning of chest circumference, waistline and hipline, with the prediction model established. The experiment results showed that the error mean of two models in the sample set was less than 3cm and two models were equipped with the certain insensitivity to shooting angles, which may be promoted to clothing size customization of online large-scale customization of clothing.

Citation Download Citation

Chang Ma, Zhengdong Liu, and Boxiang Xiao "Research on python-based regression model of female body measurement", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 122601P (24 May 2022); https://doi.org/10.1117/12.2637633

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KEYWORDS

Chest

Data modeling

Neural networks

Statistical modeling

Error analysis

Neurons

Machine learning

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