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

Range Image Segmentation Using Principal Curvatures and Principal Directions

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

4 Author(s)
Yihong Ding ; Zhengzhou Inf. Sci. & Technol. Inst., Henan ; Xijian Ping ; Min Hu ; Chuanhui Zang

This paper proposes a novel range image segmentation method. Taking the peak area of the surface as the seed, we apply the region growing to exactly locate the edge according to the characteristics of the principal curvatures and its directions. We apply the edge detection technology to the region growth rules, so the boundary localization is precise. To obtain more stable edge information, a multi-scale fusion approach is proposed. The experiments results on footprint range images show that the segmented patches contain footprint biometric information well and set a reliable basis for the further recognition

Published in:

Information, Communications and Signal Processing, 2005 Fifth International Conference on

Date of Conference:

0-0 0

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.