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This paper tackles the problem of obtaining a good initial set of corner matches between two images without resorting to any constraints from motion or structure models. Several different matching metrics, both traditional and statistical, are evaluated and the effect of matching using sub-pixel information is studied. It is found that, in most cases, the commonly-used crosscorrelation does not perform as well as some other measures, such as the ¾ test or the sum of squared differences, anddoi:10.5244/c.12.55 dblp:conf/bmvc/SmithSCW98 fatcat:6h45ptt46zeo3obbbym7rpxxuy