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Optical Engineering

Novel scale-invariant keypoint detector
Author(s): Ming Wen; Ying Li; Qing Zhuo; Wenyuan Wang
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Paper Abstract

We propose a novel method for detecting scale-invariant keypoints. 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.

Paper Details

Date Published: 1 May 2008
PDF: 6 pages
Opt. Eng. 47(5) 057203 doi: 10.1117/1.2931520
Published in: Optical Engineering Volume 47, Issue 5
Show Author Affiliations
Ming Wen, Tsinghua Univ. (China)
Ying Li, Institute of Chemical Defense (China)
Qing Zhuo, Tsinghua Univ. (China)
Wenyuan Wang, Tsinghua Univ. (China)

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