Title :
Application of data mining to anthropometric surveys for garments
Author :
Qi, Xingxiang ; Zhang, Winbin
Author_Institution :
Sch. of Fashion & Art Design, Donghua Univ., Shanghai, China
Abstract :
In this paper, data mining technology is applied to study on dependency relationship between height and main feature points of body. The association rules are extracted by using Linear Regression algorithm. Before scanning feature points, the location of each feature point is predicted by data mining technology, and then feature points are scanned preferentially within corresponding locations. This will greatly reduce the search range of feature points; thereby enhance the efficiency of photogrammetry.
Keywords :
anthropometry; business data processing; clothing; data mining; pattern classification; regression analysis; anthropometric survey; association rule extraction; body feature point; body height; data mining technology; fashion garment design; linear regression algorithm; photogrammetry enhancement; Anthropometry; Clothing; Indexes; Prediction algorithms; Predictive models; Regression tree analysis; anthropometry; data mining; garment; linear regression;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641111
