Cart (Loading....) | Create Account
Close category search window
 

A novel model-based approach for 3D footwear outsole feature extraction

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gao, B. ; Dept. of Electron. & Electr. Eng., Univ. of Sheffield, Sheffield, UK ; Allinson, N.M.

To enhance the performance of shoeprint recognition systems, an approach capable of extracting the information-rich 3D outsole patterns is regarded as a promising one. In this paper, initial work on this approach is reported. In this method, 3D outsole models captured using a 3D scanner are sliced in stripes. Stripes are subsequently fitted to parabolas to discover the outsole profiles. Convex/Concave features are hence extracted from each stripe and further fitted by a parametric model to estimate the feature centre position, and the vertical and the horizontal scales. Finally, by grouping estimated features together, a Fuzzy C-Means based method for extracting Printable 3D Features from Convex-Pattern-Dominant Outsoles (Convex-PDOs) is proposed. Promising experimental results show the feasibility of our model-based method for further 3D feature extraction.

Published in:

Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on

Date of Conference:

16-18 Sept. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.