A Robust Edge Based Corner Detector

This paper presents a novel method to find corners that are well located and stable interest points in a given image. Our corners are defined as intersection points of non collinear straight image edges, which are very robust against various image transformations like image scaling, rotation, translation and also to viewpoint and illumination changes. Some light updates on the linking edge step that should be applied in order to extract edges and their intersections that construct the searched corners are also discussed. Experiments conducted on real images demonstrate that the proposed method is able to achieve a very good performance in accuracy, stability and especially computational efficiency in comparison with existing methods.