Silhouette shape and detail texture based garment style recognition
- Resource Type
- Conference
- Authors
- Qian, Suqin; Jiang, Lifeng; Dong, Aihua
- Source
- 2011 IEEE International Conference on Computer Science and Automation Engineering Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on. 2:441-445 Jun, 2011
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Clothing
Shape
Fabrics
Image edge detection
Pixel
Artificial neural networks
Mathematical model
Garment Modeling
Silhouette Shape
Detail Texture
Image Segmentation
BP Neural Network
- Language
Garment style is closely related to silhouette shape and detail shape. This paper proposes image processing technology to separate the silhouette curve of the garment and obtain the image representing the drape pleating shadow. Firstly, 13 descriptors representing the shape characteristics and detail texture are acquired. After that, a three layer BP neural network is employed to recognition the garment style. Finally, the proposed method is verified in the skirt style classification and the experimental result shows the effective of the method.