We propose a novel-method for detecting scale-invariant key-points. Our method first computes multiscale representations of an image for several different measures by scale-space filtering. Then we localize feature points in the image plane and determine the characteristic scales for these points using a saliency metric. Finally, some highly salient points are selected as keypoints. These points are invariant to scale and rotation. Experimental results show very satisfactory performance of the detector.
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