Abstract
A statistical model is developed for the image pair and used to derive a minimum-error hypothesis test for matching. For reasons of tractability a multivariate normal image model and linear dependence between images are assumed. As one would expect, the optimal test outperforms the standard approaches when the assumed model is in force, but the extent of the optimal test’s superiority suggests that there is significant potential for improvement on the standard methods of assessing image similarity.
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Cox, G., de Jager, G. (2002). A Linear Image-Pair Model and the Associated Hypothesis Test for Matching. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_7
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DOI: https://doi.org/10.1007/3-540-45479-9_7
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