Multi-Variate Cross-Correlation and Image Matching.
RB Fisher, Paul Oliver · 1995
This paper introduces the use of a multi-variate correlation function for region-based image matching and extends it to a modified crosscorrelation function that works well when matching image areas are required have the same intensity contrast. It also shows that the multivariate case is a straightforward generalisation of the monochrome image case. Experiments with both MRI and RGB colour imagery are shown, along with comparisons with the Euclidean, Manhatten and L1 matching metrics. 1 Introduction With the increase in available computing power, both through fast microprocessors and also through special purpose VLSI and board-level products, vision researchers have been again investigating image region-based matching processes. For example, research projects have investigated area-based stereo [3, 8], Ugaritic character stroke location [2], general template matching [1, 5, 10], MRI image correspondence determination over time [11], corner detection [6] and face recognition. What ch...