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

3-D object recognition with symmetric models: symmetry extraction and encoding

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

1 Author(s)
Flynn, P.J. ; Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA

Object recognition systems which employ solid models and range data have been a topic of interest for several years. Model databases have the potential to become large in some environments. This paper proposes a pair of techniques for incorporating knowledge of the symmetries of object models into the recognition process. The effects of symmetric models on the speed of an object recognition system is examined in the context of an implemented system employing invariant feature indexing as a correspondence-building mechanism. Groups of model surfaces are enumerated and examined to yield a list of segment label permutations which summarize the model's symmetry. This symmetry extraction process is followed by a symmetry encoding procedure which replaces groups of features which are indistinguishable because of symmetry with a single prototype feature group. Experiments with a large model database demonstrate the utility of these symmetry extraction and encoding techniques.<>

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:16 ,  Issue: 8 )

Date of Publication:

Aug. 1994

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.