A matching algorithm on statistical properties of Harris corner

The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation, gray, noise and viewpoint change conditions, has an ideal match results, is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly, experiments show that the two features exclusive, then applied them to image registration for the first time. A set of actual images have shown, this proposed method not only overcomes the complicated background, gray uneven distribution problems, but also pan and zoom the image has a good resistance.