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Proceedings Paper

Reconstruction of digital terrain model with a lake
Author(s): L. D. Cohen; E. Bardinet; Nicholas Ayache
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Paper Abstract

Variational methods have been frequently used for surface reconstruction and contour extraction (snakes). We present a surface reconstruction method where we assume the surface composed of two regions of different types of smoothness. One region of the surface models a `lake' (constant height region with uphill borders). It is surrounded by the other background region which is reconstructed using classic surface regularization. The boundary between the two regions, represented by a closed curve, is determined with the help of an active contour model. Then the surface is reconstructed by minimizing the energy terms in each region. Minimizing a global energy defined on the couple of unknowns -- boundary curve and surface -- permits us to introduce other forces on the curve. The surface reconstruction and contour extraction tasks are then made together. We have applied this model for segmenting a synthetic digital terrain model (DTM) image which represents a noisy mountain and lake.

Paper Details

Date Published: 23 June 1993
PDF: 13 pages
Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993); doi: 10.1117/12.146644
Show Author Affiliations
L. D. Cohen, Univ. Paris IX-Dauphine (France)
E. Bardinet, INRIA (France)
Nicholas Ayache, INRIA (France)

Published in SPIE Proceedings Vol. 2031:
Geometric Methods in Computer Vision II
Baba C. Vemuri, Editor(s)

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