In European Conference on Computer Vision (ECCV), May 2006.

Abstract

We introduce a new approach to modelling gradient flows of contours and surfaces. While standard variational methods (e.g. level sets)
compute local interface motion in a differential fashion by estimating local contour velocity via energy derivatives, we propose to solve
surface evolution PDEs by explicitly estimating integral motion of the whole surface. We formulate an optimization problem directly
based on an integral characterization of gradient flow as an infinitesimal move of the (whole) surface giving the largest energy decrease
among all moves of equal size. We show that this problem can be efficiently solved using recent advances in algorithms for global
hypersurface optimization [4, 2, 11]. In particular, we employ the geo-cuts method [4] that uses ideas from integral geometry to represent
continuous surfaces as cuts on discrete graphs. The resulting interface evolution algorithm is validated on some 2D and 3D examples
similar to typical demonstrations of level-set methods. Our method can compute gradient flows of hypersurfaces with respect to a fairly
general class of continuous functionals and it is flexible with respect to distance metrics on the space of contours/surfaces.
Preliminary tests for standard L2 distance metric demonstrate numerical stability, topological changes and an absence of any oscillatory motion.