A New Approach to Automatic Clothing Matting from Mannequins

Abstract

It is crucial to extract retail clothes from images of mannequins when building a database of clothing images for virtual try-on systems. However, clothes often have complex texture and translucent material, such as holes and laces. It is thus difficult to extract clothes as foreground by existing generic natural image matting methods. Hence in this paper, we present a novel approach to automatic clothing matting from mannequins, with auxiliary information from a rough background image of the mannequin only. Experiments show that we can achieve remarkable improvement on the alpha matte near challenging regions of complex texture and translucent material of clothes. Moreover, our approach can automatically generate trimaps to facilitate the development and evaluation of other image matting algorithms