Image registration by using a descriptor for repetitive patterns | IEEE Conference Publication | IEEE Xplore

Image registration by using a descriptor for repetitive patterns


Abstract:

This paper proposes a new feature-based image registration method based on the description of feature clusters. This method can find larger number of correspondences than...Show More

Abstract:

This paper proposes a new feature-based image registration method based on the description of feature clusters. This method can find larger number of correspondences than the conventional methods using singleton feature descriptors, which often fail in repetitive patterns. The reason for the failure of conventional methods in a repeating pattern is due to the existence of too many similar features, which in turn gives geometrically inconsistent matching or do not survive ratio test. Hence the proposed method follows the strategy that first separate the similar features from the repetitive patterns from the others. Then the similar features in a pattern are grouped into a set that is described by a support vector descriptor in terms of the cluster's center and radius. Once the same pattern in different images are matched, the geometric cue is added to find many geometrically consistent correspondences of the features. In the experiments, it has been demonstrated that the larger number of geometrically consistent correspondences from the repetitive pattern give more accurate registration, and thus more pleasing results in image stitching and panoramic image generation.
Date of Conference: 27-30 November 2012
Date Added to IEEE Xplore: 17 January 2013
ISBN Information:
Conference Location: San Diego, CA, USA

References

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