引用本文: | 徐玉华,龚文全,苏昂,等.近似平面场景多视点图像拼接算法.[J].国防科技大学学报,2014,36(2):148-155.[点击复制] |
XU Yuhua,GONG Wenquan,SU Ang,et al.Multi-viewpoint image mosaicing algorithm for roughly planar scenes[J].Journal of National University of Defense Technology,2014,36(2):148-155[点击复制] |
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近似平面场景多视点图像拼接算法 |
徐玉华1,2, 龚文全3, 苏昂1, 张跃强1, 张小虎1 |
(1.国防科技大学 航天科学与工程学院, 湖南 长沙 410073;2.
2.96634部队,江西 南昌 330200;3.2.96634部队,江西 南昌 330200)
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摘要: |
以小型无人机对地观测为应用背景,研究了近似平面场景多视点图像拼接问题。对于已知粗略相机〖JP2〗位姿的情况,提出一种融合相机位姿信息和图像特征点对应信息的方法,采用直接稀疏Cholesky分解方法求解拼接全局优化问题。由该方法得到的拼接结果没有全局变形,局部拼接误差也得到了明显的改善。对于相机位姿未知的情况,先采用structure-from-motion (SFM)方法恢复相机姿态和场景稀疏结构信息,再采用稀疏全局调整方法获得最终的图像变换参数。通过沙盘图像和真实的航拍图像拼接实验验证了算法的有效性。 |
关键词: 图像拼接 稀疏全局调整 三维重建 无人机 |
DOI:10.11887/j.cn.201402025 |
投稿日期:2013-07-08 |
基金项目:国家973计划项目(2013CB733100);国家自然科学基金资助项目(11272347) |
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Multi-viewpoint image mosaicing algorithm for roughly planar scenes |
XU Yuhua1,2, GONG Wenquan3, SU Ang1, ZHANG Yueqiang1, ZHANG Xiaohu1 |
(1.College of Aerospace Science and Engineering,National University of Defense Technology, Changsha 410073, China;2.
2.The Army of 96634, Nanchang 330200, China;3.2.The Army of 96634, Nanchang 330200, China)
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Abstract: |
Aiming at applications of small unmanned aerial vehicle (UAV) in earth observations, this research explores the multi-viewpoint image mosaicing problems for roughly planar scenes. When coarse camera poses are known, a method for integrating camera poses and feature correspondences is proposed, in which direct sparse Cholesky factorization algorithm is used to solve the global optimization problems of mosaicing. Global distortions do not exist in the obtained mosaics and local mosaic errors are suppressed effectively. When the camera poses are unknown, a structure-from-motion (SFM) system is used to recover the cameras poses and sparse structure of the scene firstly. Then, the sparse global adjustment is used to refine the transformations. The proposed algorithm is validated using sand table images and real aerial images. |
Keywords: image mosaicing, sparse global adjustment, 3D reconstruction, unmanned aerial vehicle(UAV) |
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