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Surface reconstruction using active contour models

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 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.
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Submitted on : Wednesday, May 24, 2006 - 4:34:14 PM
Last modification on : Thursday, February 3, 2022 - 11:15:28 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:38:10 PM


  • HAL Id : inria-00074848, version 1


Laurent D. Cohen, Eric Bardinet, Nicholas Ayache. Surface reconstruction using active contour models. [Research Report] RR-1824, INRIA. 1993. ⟨inria-00074848⟩



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