Title of article :
Reconstructing Open Surfaces from Image Data
Author/Authors :
JAN ERIK SOLEM AND ANDERS HEYDEN، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
In this paper a method for fitting open surfaces to data obtained from images is presented using a level set
representation of the surface. This is done by tracking a curve, representing the boundary, on the implicitly defined
surface. This curve is given as the intersection of the level set describing the surface and an auxiliary level set.
These two level sets are propagated using the same motion vector field. Special care has to be taken in order for the
surfaces not to intersect at other places than at the desired boundary. Methods for accomplishing this are presented
and a fast scheme for finding initial values is proposed. This method gives a piecewise linear approximation of the
initial surface boundary using a partition of the convex hull of the recovered 3D data. With the approach described
in this paper, open surfaces can be fitted to e.g. point clouds obtained using structure from motion techniques. This
paper solves an important practical problem since in many cases the surfaces in the scene are open or can only be
viewed from certain directions. Experiments on several data sets support the method.
Keywords :
variational methods , computer vision , level set method , structure from motion , multiple view stereo
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION
Journal title :
INTERNATIONAL JOURNAL OF COMPUTER VISION