MRF-BASED AUTOMATIC IMAGE ORDERING AND ITS APPLICATION TO MOSAICING

A fast and robust auto-sorting method for image ordering based on Markov Random Fields (MRF) is proposed. We present a specific MRF model for the ordering problem and use pairwise phase correlation for the formulation. The MRF is inferred by a modified belief propagation (BP) method. Experimental results prove that the new method can reorder a disorganised collection of images without human input, prior information or restrictions, as just the first stage of a multistage mosaicing process, but also provides information that can be used to guide a mosaicing process in order to reduce both local mismatch and global error accumulation.