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
TypeCommunication / Conférence
Conference titleSPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation
Conference citySan Diego
Conference countryUnited States
Book titleProc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993)
MetadataShow full item record
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 / Keywordssurface reconstruction
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