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

Content-Based Retrieval of 3-D Objects Using Spin Image Signatures

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)
Assfalg, J. ; Dipt. Sistemi e Informatica, Firenze Univ. ; Bertini, M. ; Bimbo, A.D. ; Pala, P.

Retrieval by content of 3D models is becoming more and more important due to the advancements in 3D hardware and software technologies for acquisition, authoring and display of 3D objects, their ever-increasing availability at affordable costs, and the establishments of open standards for 3D data interchange. In this paper, we present a new method, referred to as spin image signatures, that develops on the original spin images approach, with adaptations to support effective retrieval by content. According to the method proposed, a set of spin images is derived for each model, to obtain a view-independent description of its 3D shape and a signature is evaluated for each spin image in the set. Clustering is hence performed on the set of spin image signatures to obtain a compact representation. Experimental results are presented, showing the effectiveness of the spin image signatures method for retrieval, also in comparison with other methods, and its sensitivity to model deformations

Published in:

Multimedia, IEEE Transactions on  (Volume:9 ,  Issue: 3 )

Date of Publication:

April 2007

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.