2015
Conference article  Open Access

Compression and querying of arbitrary geodesic distances

Aiello R., Banterle F., Pietroni N., Malomo L., Cignoni P., Scopigno R.

Geodesics 

In this paper, we propose a novel method for accelerating the computation of geodesic distances over arbitrary manifold triangulated surfaces. The method is based on a preprocessing step where we build a data structure. This allows to store arbitrary complex distance metrics. We show that, by exploiting the precomputed data, the proposed method is significantly faster than the classical Dijkstra algorithm for the computation of point to point distances. Moreover, as we precompute exact geodesic distances, the proposed approach can be more accurate than state-of-the-art approximations.

Source: Image Analysis and Processing. 18th International Conference, ICIAP 2015, pp. 282–293, Genoa, Italy, 7-11/09/2015

Publisher: Springer, Berlin , Germania


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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:340210,
	title = {Compression and querying of arbitrary geodesic distances},
	author = {Aiello R. and Banterle F. and Pietroni N. and Malomo L. and Cignoni P. and Scopigno R.},
	publisher = {Springer, Berlin , Germania},
	doi = {10.1007/978-3-319-23231-7_26},
	booktitle = {Image Analysis and Processing. 18th International Conference, ICIAP 2015, pp. 282–293, Genoa, Italy, 7-11/09/2015},
	year = {2015}
}