Color correction and geometric calibration for multi-view images with feature correspondence  被引量:3

Color correction and geometric calibration for multi-view images with feature correspondence

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作  者:邵枫 蒋刚毅 郁梅 

机构地区:[1]Faculty of Information Science and Engineering,Ningbo University [2]the State Key Lab. of New Software Technology,Nanjing University

出  处:《Optoelectronics Letters》2009年第3期232-235,共4页光电子快报(英文版)

基  金:supported by the National Natural Science Foundation of China (No.60672073,60872094);the Program for New Century Excellent Talents in University (NCET-06-0537);the Natural Science Foundation of Ningbo Province (No.2007A610037,2008A610016)

摘  要: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.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.

关 键 词:几何校正 色彩校正 多视角 图像 特征匹配 校正方法 对应关系 特征变换 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]

 

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