Image registration using BP-SIFT

Zhu, Y and Cheng, Samuel and Stankovic, Vladimir and Stankovic, Lina (2013) Image registration using BP-SIFT. Journal of Visual Communication and Image Representation, 24 (4). pp. 448-457. ISSN 1047-3203 (https://doi.org/10.1016/j.jvcir.2013.02.005)

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Abstract

Scale Invariant Feature Transform (SIFT) is a powerful technique for image registration. Although SIFT descriptors accurately extract invariant image characteristics around keypoints, the commonly used matching approaches of registration loosely represent the geometric information among descriptors. In this paper, we propose an image registration algorithm named BP-SIFT, where we formulate keypoint matching of SIFT descriptors as a global optimization problem and provide a suboptimum solution using belief propagation (BP). Experimental results show significant improvement over conventional SIFT-based matching with reasonable computation complexity.

ORCID iDs

Zhu, Y, Cheng, Samuel, Stankovic, Vladimir ORCID logoORCID: https://orcid.org/0000-0002-1075-2420 and Stankovic, Lina ORCID logoORCID: https://orcid.org/0000-0002-8112-1976;
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