Main  Geometric Level Set Methods in Imaging, Vision and Graphics, Springer (2003)  
Editors Preface Contents Contributors References Sample Chapter Order 
Sample Chapter (will be changed every month)
ABSTRACT: Given a set of simultaneously acquired images of
a scene, the stereo problem consists of reconstructing the
threedimensional shape of the objects in the scene. Traditionally, this
problem has been tackled by separating the
correspondence problem, i.e. that of establishing which points in
the images are the projections in the retina of the same 3D point, and
the reconstruction
problem, i.e. that of reconstructingthe 3D shapes from the
correspondences.
The approach described in this chapter does not separate the two problems. Given a set of objects (surfaces) in 3D space, we propose a function that measures the adequacy of these objects with the measured images. The problem is then to find a set of surfaces in the scene which maximize our function. This can be achieved by a variational approach. A level set implementation is described and results are given on synthetic and real images. 







Last Update: December20th,
2004, you can mail your comments to:



