Interpretability based interest points detection
Ahmed Rebaï, Alexis Joly, Nozha Boujemaa · 2007
This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is to extract interpretable points from the image context. The basic principle of this operator was the detection of radial symmetries, but we have generalized it to cover other kind of interest points. Indeed, detected points constitute centers of circles or logarithmic spirals, intersections of curves and vanishing points. Detection of such points is performed using a three dimensional space called θ-space. Experiments reveal that these points are more likely to be related to visual attention. We have also applied these points to the object recognition problem and to the state of the art performances.