By Topic

3D model retrieval based on visual shape and relevance feedback

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)
Zhi Liu ; Coll. of Inf. Sci. & Technol., NanJing Univ. of Aeronaut. & Astronaut., Nanjing, China ; Chenghua Wang ; Feng Hong

In this paper, we propose a novel wavelet moment-based surface light source (WM-SLS) descriptor and enhanced Gaussian potential function-based silhouette (GPF-S) descriptor, and on the basis of combination with Adaboost relevance feedback, to build a 3D model retrieval of two-stage strategy. PCA method for model normalization is introduced to obtain optimal bounding box at first. Secondly, the first stage using GPF-S descriptor is to reduce the retrieval scope and the second stage using combined descriptors retrieves precisely. Finally, we apply Adaboost algorithm to improve the retrieval performance by dynamically assigning different weights. Experimental results show that the proposed method is superior to other methods.

Published in:

Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on

Date of Conference:

16-19 Aug. 2009