By Topic

A hierarchical approach to the correspondence problem

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
$33 $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)
Ting-Chuen Pong ; Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN, USA ; Kaiser, B.G.

An algorithm for feature-point matching using a feature-point hierarchy (edges directed by corners) is presented. Psychophysical evidence indicates that higher-level image structures, such as line segments or corners, can aid the matching of low-level structures. This observation, applied to the correspondence problem in machine vision, directly motivates the implementation of the hierarchical matcher described. In addition, edge and corner detectors developed for the matcher and based on the facet model are described. The matcher gives an accurate disparity assignment for real images and performs better than the simpler nonhierarchical relaxation matcher on which it is based

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:19 ,  Issue: 2 )