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From Ziplock Snakes to Velcro Surfaces
W. Neuenschwander, P. Fua, G. Székely and O. Kübler
Ascona Workshop '95: Automatic Extraction of Man-Made Objects from Aerial and Space Images
April 1995
Abstract
Even though methods based on the use of deformable models have become
prevalent, the quality of their output depends critically on the
model's initial state. The issue of initializing such models,
however, has not received much attention even though it is often key
to the implementation of a truly useful system.
We therefore present a new approach to segmentation of 3--Dimensional
shapes that initializes and then optimizes a 3--D surface model given
only the data and a very small number of 3--D seed points and
corresponding surface normals. This is a valuable capability for
medical, robotic and cartographic applications where such seed points
can be naturally supplied. In effect, the surface model is clamped
onto the object boundary in manner reminiscent of a Velcro being
closed.
We develop the method's mathematic framework and show preliminary
results using volumetric medical data.
Download in postscript format
@InProceedings{eth_biwi_00073,
author = {W. Neuenschwander and P. Fua and G. Székely and O. K\"ubler},
title = {From Ziplock Snakes to Velcro Surfaces},
booktitle = {Ascona Workshop '95: Automatic Extraction of Man-Made Objects from Aerial and Space Images},
year = {1995},
month = {April},
pages = {105--114},
keywords = {grouping, segmentation, deformable, surface, deformable surface models, snakes}
}