Share Email Print
cover

Proceedings Paper

Classification of sole patterns from a three-dimensional shoe model
Author(s): Qingmin Zhao; Feifei Dong; Jianhua Wu; Jian Cheng; Yican Zhu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The purpose of this paper is to classify the sole patterns from a 3D shoe model which is comprised of scattered point cloud data. Sole patterns can be divided into five categories based on the texture of each pattern. The point cloud data is sliced into a number of layers, and the unordered data points in each layer are projected onto a viewing plane to get a 2D shoeprint, in which we can further segment a texture element by region growing. Then, each texture element segmented can be classified into two types, non-closed curve and closed curve, by detecting if there are point cloud data in each external unit of the region and looking for the nearest points to the region. Finally, we can identify the type of the texture element into one of the five categories by analyzing its geometrical characteristics.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500E (13 January 2012); doi: 10.1117/12.920274
Show Author Affiliations
Qingmin Zhao, Nanchang Univ. (China)
Feifei Dong, Nanchang Univ. (China)
Jianhua Wu, Nanchang Univ. (China)
Jian Cheng, Jiangxi Provincial Public Security Bureau (China)
Yican Zhu, Jiangxi Provincial Public Security Bureau (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

© SPIE. Terms of Use
Back to Top