APPEARANCE BASED NORMALISATION Sample Clauses

APPEARANCE BASED NORMALISATION. In order to store and later match appearance based patches, it is important to normalise the images in a set manner. This allows for detectors, which detect regions of an arbitrary size to store and use images as if they were of fixed size. For example, if MSER is used, an unknown patch size may be returned; this must be stored and matched in a fixed size patch (for efficiency and ease). Furthermore, if a Xxxxxx based patch, which returns a fixed size patch but can be at any rotation, is used, some system for normalising rotation and scale must be found. Two such methods for normalisation, which are closely linked, are the Hotelling transform and the Whitening transform.
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