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conference paper

Heuristic-driven Graph Wavelet Modeling of Complex Terrain

Cioaca, Teodor
•
Dumitrescu, Bogdan
•
Stupariu, Mihai-Sorin
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Wang, Y
•
Jiang, X
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2015
Sixth International Conference On Graphic And Image Processing (Icgip 2014)
6th International Conference on Graphic and Image Processing (ICGIP)

We present a novel method for building a multiresolution 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.

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Type
conference paper
DOI
10.1117/12.2179132
Web of Science ID

WOS:000354613300069

Author(s)
Cioaca, Teodor
•
Dumitrescu, Bogdan
•
Stupariu, Mihai-Sorin
•
Patru-Stupariu, Ileana
•
Naparus, Magdalena  
•
Stoicescu, Ioana
•
Peringer, Alexander  
•
Buttler, Alexandre  
•
Golay, Francois  
Editors
Wang, Y
•
Jiang, X
•
Zhang, D
Date Issued

2015

Publisher

Spie-Int Soc Optical Engineering

Publisher place

Bellingham

Published in
Sixth International Conference On Graphic And Image Processing (Icgip 2014)
ISBN of the book

978-1-62841-558-2

Total of pages

6

Series title/Series vol.

Proceedings of SPIE

Volume

9443

Start page

94431Y

Subjects

Graph wavelets

•

terrain modeling

•

multivariate heuristic cost

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ECOS  
LASIG  
Event nameEvent placeEvent date
6th International Conference on Graphic and Image Processing (ICGIP)

Beijing, PEOPLES R CHINA

OCT 24-26, 2014

Available on Infoscience
September 28, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/119186
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