Interpretability based interest points detection

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. Added to that, this detector does not depend on the features’ size, what makes it possible to be robust to the scaling. 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 also applied these points to the object recognition problem and state of the art performances. Categories and Subject Descriptors I.4.7 [Image Processing and Computer Vision]: Feature Measurement...

• Type: Conference
• Year: 2007
• Where: CIVR
• Authors: Ahmed Rebai, Alexis Joly, Nozha Boujemaa
• Keywords: CIVR 2007, Interpretable Points, Points Constitute Centers, Points Detector