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

Object classification by functional parts

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

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)
Froimovich, G. ; Dept. of Comput. Sci., Technion-Israel Inst. of Technol., Haifa, Israel ; Rivlin, E. ; Shimshoni, I.

Object classification needs to address not only the changes resulting from various viewpoints but also the different shapes that can be classified into the same category. We present a new framework and its implementation for generic object classification from raw range images, combining structural and functional concepts. The framework addresses low and mid level problems for the decomposition of range images into primitive shape parts, presenting concepts for the classification of shape parts, and calculation of part properties and relations. New concepts are described, addressing the different aspects of generic class descriptions by functional parts. A mapping of functionality (and functional parts) to the primitive shape parts is presented, introducing functional part recognizers. Our approach mainly supports a top-level recognition process in which classes are verified using a verification tree in which functional parts and their realization hypotheses are explored. An algorithm for an effective traversing of the verification tree is presented, in which probabilities of hypotheses and classes are estimated. An experimental system applying our classification concepts to several classes was implemented and tested on a database of real raw range images of objects.

Published in:

3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on

Date of Conference:

2002

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.