Matjaž Jogan and Aleš Leonardis (2000) Robust localization using the eigenspace of spinning-images. In: IEEE Workshop on Omnidirectional Vision, Hilton Head Island, South Carolina.
Abstract
Under in-plane rotations of a panoramic camera, the information content of a panoramic image is, in general, preserved. However, different representations that can be derived have important implications on further processing, e.g. for view-based localization. In this paper we discuss several approaches that have been taken and evaluate them from different points-of-view, in particular, we argue that most of them are not suitable for robust localization under partially occluded views. Thus, we propose a representation - eigenspace of spinning-images - which enables a straightforward application of the robust estimation of eigenimage coefficients which is directly related to the localization.
| Item Type: | Conference or Workshop Item (Paper) |
|---|
| Keywords: | mobile robot localization, omnidirectional vision, eigenspace, visual learning and recognition |
|---|
| Language of Content: | English |
|---|
| Related URLs: | |
|---|
| Institution: | University of Ljubljana |
|---|
| Department: | Faculty of Computer and Information Science |
|---|
| Divisions: | Faculty of Computer and Information Science > Computer Vision Laboratory |
|---|
| Item ID: | 48 |
|---|
| Date Deposited: | 28 Feb 2003 |
|---|
| Last Modified: | 12 Dec 2013 14:24 |
|---|
| URI: | http://eprints.fri.uni-lj.si/id/eprint/48 |
|---|
Actions (login required)
![[img]](http://eprints.fri.uni-lj.si/style/images/fileicons/application_pdf.png)
