Image-based self-localization by means of zero phase representation in panoramic images
Tomáš Pajdla7
and Václav Hlaváč7 
| (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.
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