Minimizing energy functions on 4-connected lattices using elimination

We describe an energy minimization algorithm for functions defined on 4-connected lattices, of the type usually encountered in problems involving images. Such functions are often minimized using graph-cuts/max-flow, but this method is only applicable to submodular problems. In this paper, we describe an algorithm that will solve any binary problem, irrespective of whether it is submodular or not, and for multilabel problems we use alpha-expansion. The method is based on the elimination algorithm, which eliminates nodes from the graph until the remaining function is submodular. It can then be solved using max-flow. Values of eliminated variables are recovered using back-substitution. We compare the algorithm's performance against alternative methods for solving non-submodular problems, with favourable results.

• Type: Journal
• Year: 2009
• Where: ICCV
• Authors: Peter Carr, Richard Hartley
• Keywords: Algorithm, Computer Vision, Energy Minimization Algorithm, ICCV 2009, Problems