Abstract
Color and geometry inconsistency between different views is an urgent problem in multi-view imaging applications. In this paper, we present a color correction and geometric calibration method for multi-view images on the basis of feature correspondences between views. First, keypoints in views are detected by using scale invariant feature transform, and accurately matched by bi-directional feature matching between difference views. Then multiplicative and additive errors between matching keypoints are calculated to achieve color correction. In addition, an affine transformation between minimum cost matching keypoints is established to achieve geometric calibration. The experimental results verify the effectiveness of the proposed method in color correction and geometric calibration, and a higher coding efficiency is obtained.
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This work has been supported by the National Natural Science Foundation of China (No.60672073, 60872094), the Program for New Century Excellent Talents in University (NCET-06-0537), and the Natural Science Foundation of Ningbo Province (No.2007A610037, 2008A610016).
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Shao, F., Jiang, Gy. & Yu, M. Color correction and geometric calibration for multi-view images with feature correspondence. Optoelectron. Lett. 5, 232–235 (2009). https://doi.org/10.1007/s11801-009-8002-5
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DOI: https://doi.org/10.1007/s11801-009-8002-5