Corner detectors: Evaluation of information content

Abstract

This paper aims at the comparison of different corner detectors in terms of information content. Specifically, the FAST, Harris, Harris-Laplace and KLT detector are tested. We prove a hypothesis that the neighborhood of points detected by interest point detectors conveys more information than randomly selected points. The information content was computed from the 8x8 neighborhood of the detected points using entropy. From the qualitative point of view, we have observed that the Harris detector performed best in this measurement and was closely followed by the KLT detector.