Many different low-level feature detectors exist and it is widely agreed th
at the evaluation of detectors is important. In this paper we introduce two
evaluation criteria for interest points: repeatability rate and informatio
n content. Repeatability rate evaluates the geometric stability under diffe
rent transformations. Information content measures the distinctiveness of f
eatures. Different interest point detectors are compared using these two cr
iteria. We determine which detector gives the best results and show that it
satisfies the criteria well.