Matjaž Jogan and Aleš Leonardis (1999) Panoramic eigenimages for spatial localisation. In: 8th International Conference on Computer Analysis of Images and Patterns, September 1999, Ljubljana.
Recent biological evidence suggests that position and orientation can be estimated from an adequately compressed set of environment snapshots and their relationships. In this paper we present a pure appearance-based localisation method using an eigenspace representation of panoramic images. We first review several types of rotational invariant representations of panoramic images in terms of their effifciency for an eigenspace-based localisation problem. Then, for each set of images an eigenspace from 25 location snapshots is built and analyzed. We evaluated simple localisation of images not included in the training set. The results show good prospects for the panoramic eigenspace approach.
|Item Type: ||Conference or Workshop Item (Paper)|
|Keywords: ||image based localization, panoramic images, mobile robot, eigenspace methods|
|Language of Content: ||English|
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Divisions: ||Faculty of Computer and Information Science > Computer Vision Laboratory|
|Item ID: ||46|
|Date Deposited: ||19 Feb 2003|
|Last Modified: ||13 Aug 2011 00:31|
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