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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Ran Song, Yonghuai Liu, Yitian Zhao, Ralph R. Martin, Paul L. Rosin
• Keywords: ICASSP 2011, Mosaicing Process, Robust Auto-sorting Method, Signal Processing, Specific Mrf Model