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Image-based self-localization by means of zero phase representation in panoramic images

Tomáš PajdlaContact Information and Václav HlaváčContact Information

(7)  Center for Machine Perception, Faculty of Electrical Engineering, Czech Technical University, Karlovo náměstí 13, 121 35 Prague 2, Czech Republic
Abstract
The paradigm - image-based localization using panoramic images - is elaborated. Panoramic images provide complete views of an environment and their information content does not change if a panoramic camera is rotated. The “zero phase representation” of cylindrical panoramic images, an example of a rotation invariant representation, is constructed for the class of images which have non-zero first harmonic in column direction. It is an invariant and fully discriminative representation. The zero phase representation is demonstrated by an experiment with real data and it is shown that the alternative autocorrelation representation is outperformed.

Keywords  omni-directional vision - self-localization from images - computer vision - robot navigation

This work was supported by the MSMT VS96049, J04/98:210000012 and GACR 102/00/1679 grants.

Contact Information Tomáš Pajdla
Email: pajdla@cmp.felk.cvut.cz
URL: http://cmp.felk.cvut.cz

Contact Information Václav Hlaváč
Email: hlavac@cmp.felk.cvut.cz
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