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Reconstruction of Digital Terrain Model with a Lake

Cohen, Laurent D.; Bardinet, Eric; Ayache, Nicholas (1993), Reconstruction of Digital Terrain Model with a Lake, Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993), SPIE. 10.1117/12.146644

Type
Communication / Conférence
Date
1993
Conference title
SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation
Conference date
1993-06
Conference city
San Diego
Conference country
United States
Book title
Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993)
Publisher
SPIE
Publication identifier
10.1117/12.146644
Metadata
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Author(s)
Cohen, Laurent D.

Bardinet, Eric

Ayache, Nicholas
Abstract (EN)
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.
Subjects / Keywords
surface reconstruction

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