Abstract
Abstract The clothing industry is currently focused on 3D virtual fitting. Many companies use size 12 as the core size; however, in recent years the average size has increased. For example, in the United Kingdom, the average size is now 16. Many companies have not updated their core size and often use size 12 as the size they are the most familiar with. The purpose of this paper is to compare real plus size body shapes with artificial avatars in relation to the fabric draping. This paper will investigate, how the body shape changes with an age (body height decreases, skin elasticity is lower, the shoulders are hunched, buttocks sag and fatness pockets are accumulated around the waist area). These factors are not considered in virtual avatars, but have a big impact on virtual fitting.
Highlights
The apparel industry uses 3D virtual fitting for the development of clothing and has started to expand the concept of 3D fitting by designing websites that allow customers to use a virtual avatar to determine, how an item of clothing will fit to their body
Virtual avatars that are currently used in 3D virtual fitting software do not accurately represent body imperfections such as lumps of fat that are formed in various locations around the body
If the body morphology is uneven with lots of fatty lumps, the body fabric gap will be smaller, and the fabric may lay on the top of these lumps, which could affect the garment fitting and fabric draping
Summary
The apparel industry uses 3D virtual fitting for the development of clothing and has started to expand the concept of 3D fitting by designing websites that allow customers to use a virtual avatar to determine, how an item of clothing will fit to their body. Software developers, who are responsible for creating virtual avatars, should look to introduce these factors when designing the avatar This will allow the customer to see a more accurate representation of how the clothing will fit to their body. A previous study shows a possible solution to improve the accuracy of virtual fitting by using control points These are a series of points distributed around morphological contours that define the overall body shape (Figure 1). Companies that develop virtual 3D fitting software such as Optitex, Browzer, and Lectra only allow the user to manipulate a limited number of body metrics Due to these limitations, it is impossible to achieve the level accuracy that 3D body scanning captures. The person scanned was in the age range 40–60 and was wearing the underwear, when scanned
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