Statistical modelling of outliers for fast visual search

The matching of keypoints present in two images is an uncertain process in which many matches may be incorrect. The statistical properties of the log distance ratio for pairs of in correct matches are distinctly different from the properties of that for correct matches. Based on a statistical model, we propose a goodness-of-fit test in order to establish whether two images contain views of the same object. This technique can be used as a fast geometric consistency check for visual search.