Holger Friedrich, David Dederscheck, Martin Mutz, Rudolf Mester



In this work we present a view-based approach for robot self-localization using a hemispherical camera system. We use view descriptors that are based upon Spherical Harmonics as orthonormal basis functions on the sphere. The resulting compact representation of the image signal enables us to efficiently compare the views taken at different locations. With the view descriptors stored in a database, we compute a similarity map for the current view by means of a suitable distance metric. Advanced statistical models based upon principal component analysis introduced to that metric allows to deal with severe illumination changes, extending our method to real-world applications.


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Paper Citation

in Harvard Style

Friedrich H., Dederscheck D., Mutz M. and Mester R. (2008). VIEW-BASED ROBOT LOCALIZATION USING ILLUMINATION-INVARIANT SPHERICAL HARMONICS DESCRIPTORS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 543-550. DOI: 10.5220/0001083705430550

in Bibtex Style

author={Holger Friedrich and David Dederscheck and Martin Mutz and Rudolf Mester},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},

in EndNote Style

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
SN - 978-989-8111-21-0
AU - Friedrich H.
AU - Dederscheck D.
AU - Mutz M.
AU - Mester R.
PY - 2008
SP - 543
EP - 550
DO - 10.5220/0001083705430550