基于三维旋转模型的红外全景图像拼接方法
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摘要
分布孔径红外系统(DAIRS)是目前各国在红外搜索跟踪系统领域的重点发展方向,DAIRS系统为了减少冗余,通常减少重叠区域面积以获得较宽视场覆盖,这使得基于特征的拼接方法提取特征数量不足。本文通过构建三维旋转模型,采用基于梯度下降的图像配准方法,并在时间维度上进行多帧迭代来进行三维重建,再采用改进的亮度调整算法和多分辨率过渡区融合消除拼接痕迹。实验结果表明,本文算法对于平面投影和柱面投影都实现了全景图像的无缝拼接,过渡区通过多分辨率融合有利于进步消除模糊现象。
Distributed aperture infrared(DAIRS) system is the key development direction of infrared search and tracking systems in various countries. To reduce the redundancy,the DAIRS system usually reduce the overlap area to obtain wide field coverage,which leads to the shortage of the extracted features in the process of image stitching based on feature method. In this paper,by building three-dimensional rotation model and applying image registration based on gradient descent,three-dimensional reconstruction is done with iteration of multi-frame iteration on the dimension of time. Then the improved brightness adjustment algorithm and multi-resolution fusion of transition region are applied to eliminate the stitching traces. Experimental results show that the algorithm achieves seamless stitching of panoramic images for plane projection and cylindrical projection,and multi-resolution fusion of transition areas is beneficial to eliminate the fuzzy phenomenon.
Distributed aperture infrared(DAIRS) system is the key development direction of infrared search and tracking systems in various countries. To reduce the redundancy,the DAIRS system usually reduce the overlap area to obtain wide field coverage,which leads to the shortage of the extracted features in the process of image stitching based on feature method. In this paper,by building three-dimensional rotation model and applying image registration based on gradient descent,three-dimensional reconstruction is done with iteration of multi-frame iteration on the dimension of time. Then the improved brightness adjustment algorithm and multi-resolution fusion of transition region are applied to eliminate the stitching traces. Experimental results show that the algorithm achieves seamless stitching of panoramic images for plane projection and cylindrical projection,and multi-resolution fusion of transition areas is beneficial to eliminate the fuzzy phenomenon.
引文
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[5] M Brown,D G Lowe.Automatic panoramic image stitching using invariant features[J].International Journal of Computer Vision,2006,74(1):59-73.
[6] ZHANG Hongwei,FAN Xiang,ZHU Bin,et al.Dual-band infrared image registration with the introduction of outliers rejection mechanism[J].Infrared and Laser Engineering,2015,44 (s1):23-28.(in Chinese)张宏伟,樊祥,朱斌,等.引入外点剔除机制的双波段红外图像的配准[J].红外与激光工程,2015,44(s1):23-28.
[7] K Levenberg.A method for the solution of certain non-linear problems in least squares[J].The Quarterly of Applied Mathematics,1944,2(2):164-168.
[8] A F Martin,C B Robert.Random sample consensus:a paradigm for model fitting with application to image analysis and automated cartography[J].Communications of AMC,1981,24(6):381-395.
[9] P Burt,E Adelson.A multiresolution spline with application to image mosaics[J].ACM Transactions on Graphics,1983,2(4):217-236.
[2] ZHANG Yuan.DAIRS and its new development[J].Science and Technology Consulting Herald,2007,(14):18.(in Chinese)张渊.分布孔径红外系统及其新进展[J].科技咨询导报,2007,(14):18.
[3] ZONG yan,WANG Yangping,LIU Ping.Improved image stitching and fusion algorithm based on feature points[J].Journal of Lanzhou Jiaotong University,2012,31(1):89-92.(in Chinese)宗岩,王阳萍,刘萍.改进的基于特征点的图像拼接融合算法[J].兰州交通大学学报,2012,31(1):89-92.
[4] ZENG Dan,CHEN Jian,ZHANG Qi,et al.Global topology based image stitching using hierarchical triangulation[J].Journal of Computer Research and Development,2012,49(1):144-150.(in Chinese)曾丹,陈剑,张琦,等.基于全局拓扑结构的分级三角剖分图像拼接[J].计算机研究与发展,2012,49(1):144-150.
[5] M Brown,D G Lowe.Automatic panoramic image stitching using invariant features[J].International Journal of Computer Vision,2006,74(1):59-73.
[6] ZHANG Hongwei,FAN Xiang,ZHU Bin,et al.Dual-band infrared image registration with the introduction of outliers rejection mechanism[J].Infrared and Laser Engineering,2015,44 (s1):23-28.(in Chinese)张宏伟,樊祥,朱斌,等.引入外点剔除机制的双波段红外图像的配准[J].红外与激光工程,2015,44(s1):23-28.
[7] K Levenberg.A method for the solution of certain non-linear problems in least squares[J].The Quarterly of Applied Mathematics,1944,2(2):164-168.
[8] A F Martin,C B Robert.Random sample consensus:a paradigm for model fitting with application to image analysis and automated cartography[J].Communications of AMC,1981,24(6):381-395.
[9] P Burt,E Adelson.A multiresolution spline with application to image mosaics[J].ACM Transactions on Graphics,1983,2(4):217-236.