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

Attributed image matching using a minimum representation size criterion

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

2 Author(s)

The authors describe a novel approach to image matching which utilizes the minimal representation criterion as a means to obtain robust matching performance, even when image data are extremely noisy. They describe the application of this approach to the problem of matching noisy gray-level images to attributed models. Using the minimum representation criterion, the match between gray-level image features and an attributed graph model incorporates a representation size measure for the modeled points, the data residuals, and the unmodeled points. This structural representation identifies correspondence between a subset of data points and a subset of model points in a manner which minimizes the complexity of the resulting model. The proposed minimum representation matching algorithm is polynomial in complexity, and exhibits robust matching performance on examples where less than 30% of the features are reliable. The minimum representation principle is extensible to related problems using three-dimensional models and multisensor data matching

Published in:

Robotics and Automation, 1989. Proceedings., 1989 IEEE International Conference on

Date of Conference:

14-19 May 1989

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.