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Exploitation of 3D Body Databases to Improve Size Selection on the Apparel Industry
Sandra ALEMANY, Alfredo BALLESTER, Eduardo PARRILLA, Jordi URIEL, Jorge GONZÁLEZ, Beatriz NÁCHER, Juan Carlos GONZÁLEZ, Álvaro PAGE
Instituto de Biomecánica de Valencia, Valencia, Spain
Nowadays each clothing company defines its own sizing chart to label the garment. The lack of regulations and the different labelling methods used on each country contribute to have a confusing buying process for the end users in terms of garment size selection. Depending on the brand, the customer selection can vary several sizes. This makes that customers need to try on many sizes to select the suitable one during the buying process. This is one of the main barriers to the growth of the online sales in the fashion market. The high number of returns and their associated costs (e.g. management, logistics and operations) represent an important economic burden for fashion companies.
A large number of technological solutions have emerged in the past years to help buyers in size selection, including commercial technologies to capture body dimensions, to predict the best-fitted size and to provide a fitting visualization. Nevertheless, these technologies have not achieved a compromise between cost, efficacy and accuracy enabling an extensive market penetration. Garment size selection from the anthropometry of the user body could be an interesting approach for e-Commerce. However, the current approaches have not been revealed as the definitive solution. A sizing system based on anthropometry requires the integration of technology and knowledge; namely, the acquisition and processing of the user anthropometry and garment fitting prediction.
There are many alternatives to register the anthropometry of the user: from accurate and expensive 3D body scanners to solutions based on Electronic Consumer Goods (e.g. Microsoft kinect, webcams). Accuracy, accessibility and usability are important requirements of a body measuring system that enables the size selection. The use of 3D body databases to guide the reconstruction of 3D body shape could be an interesting approach to progress in this way. The analysis of large 3D body pools using advanced 3D body shape modelling has also experienced a breakthrough. Research work conducted in the reconstruction of 3D body shapes from body measurements or from only two or three 2D contours using 3D body databases opens the door to the feasibility of having low cost scanners with an acceptable accuracy for size selection.
By contrast, the fitting prediction, understood as the relationship between the body anthropometry and the garment dimensions, has not been studied in depth. The fitting of the garment and the selection of the proper garment size depend on many factors (e.g. style, anthropometry, textile, personal preferences), hence, the use of size charts is not enough to obtain successful results.
The aim of the this paper is to present a proposal of new methods for the development size selection systems based on a 3D body acquisition process using 3D body reconstruction and a multi-fitting approach to predict garment size.
Size selection, clothing, 3D body modeling, reconstruction, 3D body databases, fitting
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