By Topic

Selecting promising landmarks

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

3 Author(s)
Knapek, M. ; Tech. Univ. Munchen, Germany ; Oropeza, R.S. ; Kriegman, D.J.

Many approaches to visual servoing and mobile robot navigation are based on tracking feature points or landmarks in images, but not all features points are equally effective as landmarks. Here we develop methods for selecting within an image those landmarks which are both perceptually salient and visually distinctive, and consequently are readily recognized in a second image acquired from a different viewpoint. Empirically, we characterize the performance of the recognition method and then demonstrate that the selection process does in fact choose the landmarks which are more likely to be recognized

Published in:

Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on  (Volume:4 )

Date of Conference:

2000