Name
Title | ||
|---|---|---|
Clothing classification using image features derived from clothing fabrics, wrinkles and cloth overlaps |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IROS.2013.6696739 | Intelligent Robots and Systems |
Keywords | Field | DocType |
Gabor filters,clothing,image classification,mobile robots,service robots,Gabor filters,autonomous systems,cloth overlaps,clothing classification,clothing fabrics,day-to-day clothing,image features,real clothing,wrinkles | Computer vision,Computer science,Feature (computer vision),Clothing,Autonomous system (Internet),Artificial intelligence,Invariant (mathematics),Contextual image classification,Mobile robot | Conference |
ISSN | Citations | PageRank |
2153-0858 | 8 | 0.50 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kimitoshi Yamazaki | 1 | 144 | 28.08 |
| Masayuki Inaba | 2 | 2186 | 410.27 |