Reconstruction of digital terrain model with a lake

L. D. Cohen; E. Bardinet; Nicholas Ayache

doi:10.1117/12.146644

23 June 1993 Reconstruction of digital terrain model with a lake

L. D. Cohen, E. Bardinet, Nicholas Ayache

Proceedings Volume 2031, Geometric Methods in Computer Vision II; (1993) https://doi.org/10.1117/12.146644
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

L. D. Cohen, E. Bardinet, and Nicholas Ayache "Reconstruction of digital terrain model with a lake", Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993); https://doi.org/10.1117/12.146644

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