Clothing classification using image features derived from clothing fabrics, wrinkles and cloth overlaps
Kimitoshi Yamazaki, Masayuki Inaba · 2013
This paper describes about a method of clothing classification using a single image. The method assumes to be used for building autonomous systems, with the purpose of recognizing day-to-day clothing thrown casually. A set of Gabor filters is applied to an input image, and then several image features that are invariant to translation, rotation and scale are generated. In this paper, we propose the descriptions of the features with focusing on clothing fabrics, wrinkles and cloth overlaps. Experiments of state description and classification using real clothing show the effectiveness of the proposed method.