Virtual technology of Made-to-Measure Men Shirt

18th World Textile Conference

Yan, J.Q.^1 ; Kuzmichev, V.E.^1,2

Ivanovo State Polytechnic University, Department of Garment Design, No.21 Sheremetev Avenue, Ivanovo

153000, Russia^1

Wuhan Textile University, Fashion Faculty, 1000 Talent Plan Laboratory, No.1 Sunshine Avenue, Jiangxia District, Hubei province, Wuhan

430200, China^2

关键词: 3D body scanner;    Body measurements;    Competitive neural network;    Made-to-measure;    Novel patterns;    Self organized mappings;    Virtual systems;    Virtual technology;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/460/1/012014/pdf
DOI  :  10.1088/1757-899X/460/1/012014

来源: IOP

【 摘 要 】

The aim of this research is to propose the enhanced method of pattern block drafting with novel pattern-oriented body measurements and to optimize the fit of men shirts and customization process that demonstrating by the virtual system "body-garment". To investigate and devise this method, 119 young male bodies were scanned by 3D body scanner. New anthropometric indexes were proposed according to the theories and basic rules of sketching patterns[1]. Competitive neural networks and self-organized mapping neural networks2(SOMNN) were trained and tested to clustering the male body features into certain types. Thereby novel patterns for diverse types were employed as the database of customized men shirts. Compared with the traditional pattern blocks, the new ones are providing the better fit in virtual environment. Based on the proposed method, the individual pattern could be generated immediately from the existed database with facilitated precision and efficiency, by matching the body measurements of customers to certain anthropometric features.