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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Knapek, M. Oropeza, R.S. Kriegman, D.J. |
| Copyright Year | 2000 |
| Description | Author affiliation: Tech. Univ. Munchen, Germany (Knapek, M.) |
| Abstract | 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. |
| Starting Page | 3771 |
| Ending Page | 3777 |
| File Size | 717162 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780358864 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2000.845319 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-04-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image recognition Visual servoing Mobile robots Navigation Computer science Layout Fires Character recognition Image sequences Microcomputers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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