By Topic

Hybrid methods for 3D models retrieval based on geometric ratios and statistical information

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

3 Author(s)
Xu-tang Zhang ; Sch. of Mechatron. Eng., Harbin Inst. of Technol., Harbin, China ; Xiao-feng Chen ; Li-jun Jiang

Two hybrid methods, rank integration and hierarchical methods, are proposed for 3D model retrieval by using features based on geometric ratios and statistical information. Both methods are capable of taking advantage of each single retrieval method very well. A contrast experiment for the hybrid methods, single retrieval methods, and weighted method is conducted. Experimental results show that, the hybrid methods can retrieve more accurate results and have more adaptability for the various categories than using any single methods.

Published in:

Advanced Computer Control (ICACC), 2011 3rd International Conference on

Date of Conference:

18-20 Jan. 2011