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Proceedings Paper

Heuristic-driven graph wavelet modeling of complex terrain
Author(s): Teodor Cioacă; Bogdan Dumitrescu; Mihai-Sorin Stupariu; Ileana Pătru-Stupariu; Magdalena Năpărus; Ioana Stoicescu; Alexander Peringer; Alexandre Buttler; François Golay
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Paper Abstract

We present a novel method for building a multi-resolution representation of large digital surface models. The surface points coincide with the nodes of a planar graph which can be processed using a critically sampled, invertible lifting scheme. To drive the lazy wavelet node partitioning, we employ an attribute aware cost function based on the generalized quadric error metric. The resulting algorithm can be applied to multivariate data by storing additional attributes at the graph’s nodes. We discuss how the cost computation mechanism can be coupled with the lifting scheme and examine the results by evaluating the root mean square error. The algorithm is experimentally tested using two multivariate LiDAR sets representing terrain surface and vegetation structure with different sampling densities.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94431Y (4 March 2015); doi: 10.1117/12.2179132
Show Author Affiliations
Teodor Cioacă, Univ. Politehnica Bucharest (Romania)
Univ. of Bucharest (Romania)
Bogdan Dumitrescu, Univ. Politehnica Bucharest (Romania)
Mihai-Sorin Stupariu, Univ. of Bucharest (Romania)
Ileana Pătru-Stupariu, Univ. of Bucharest (Romania)
Magdalena Năpărus, Univ. of Bucharest (Romania)
Ioana Stoicescu, Univ. of Bucharest (Romania)
Alexander Peringer, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Alexandre Buttler, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
François Golay, Ecole Polytechnique Fédérale de Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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