Bundle adjustment in real-time mosaicking of frame-sweep infrared imaging

Wang Yuxi; Qi Hongxing; Ma Yanpeng; Ge Mingfeng

doi:10.3788/IRLA201645.0104002

Bundle adjustment is the key step in real-time mosaicking of remote-sensing imaging. It takes too much calculation time and decides the accuracy of the mosaicking system. Aiming at bundle adjustment algorithm in real-time mosaicking system of frame-sweep infrared imaging, a practical policy of bundle adjustment was proposed. The bundle adjustment between images of two adjacent sweep lines was used to register the lastest sweep line to the mosaicked image, which laid the foundation of real-time updating of mosaic image. The GPGPU platform was used to implement and accelerate, which improved the real-time performance of mosaicking system and also guaranteed the accuracy. By implementation of real-time bundle adjustment of frame-sweep images, the precision and real-time performance of the bundle adjustment algorithm were validated.

Bundle adjustment in real-time mosaicking of frame-sweep infrared imaging

1. Key Laboratory of Space Active Opto-electronics Technology,ShangHai Institute of Technical Physics,Shanghai 200083,China

Received Date: 2015-05-11

Rev Recd Date: 2015-06-20

Publish Date: 2016-01-25

Key words:

Abstract: Bundle adjustment is the key step in real-time mosaicking of remote-sensing imaging. It takes too much calculation time and decides the accuracy of the mosaicking system. Aiming at bundle adjustment algorithm in real-time mosaicking system of frame-sweep infrared imaging, a practical policy of bundle adjustment was proposed. The bundle adjustment between images of two adjacent sweep lines was used to register the lastest sweep line to the mosaicked image, which laid the foundation of real-time updating of mosaic image. The GPGPU platform was used to implement and accelerate, which improved the real-time performance of mosaicking system and also guaranteed the accuracy. By implementation of real-time bundle adjustment of frame-sweep images, the precision and real-time performance of the bundle adjustment algorithm were validated.

HTML

Reference (7)

[1]	Shi Yi, Liu Changjie, Guo Yin, et al. Measurement system of geometric parameters for overhead line system based on binocular vision[J]. Infrared and Laser Engineering, 2014, 43(6): 1936-1942. (in Chinese) 石轶, 刘常杰, 郭寅, 等。基于双目视觉的接触网几何参数测量系统[J]. 红外与激光工程, 2014, 43(6): 1936-1942.
[2]	Triggs B, McLauchlan P F, Hartley R I, et al. Bundle Adjustment-A Modern Synthesis[M]. Heidelberg: Springer, 2000: 298-372.
[3]	Liu Chun, Li Weiyue, Lei Weigang, et al. Strict mosaic of UAV images based on free network bundle adjustment[J].Journal of Tongji University(Nature Science), 2012, 40(5): 757-762. (in Chinese) 刘春, 李巍岳, 雷伟刚, 等。基于光束法自由网平差的无人机影像严格拼接[J]. 同济大学学报 (自然科学版), 2012, 40(5): 757-762.
[4]	Lu Heng, Li Yongshu, He Jing, et al. A automatic mosaic method in unmanned aerial vehicle images based on feature points[J]. Geography and Geo-Information Science, 2010, 26(5): 16-19. (in Chinese) 鲁恒, 李永树, 何敬, 等。一种基于特征点的无人机影像自动拼接方法[J]. 地理与地理信息科学, 2010, 26(5): 16-19.
[5]	Xu Bin, Li Yingcheng, Liu Xiaolong, et al. The application of bundle block adjustment with constraint conditions in platform calibration of four-head aerial digital camera[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(1): 66-73. (in Chinese) 徐斌, 李英成, 刘晓龙, 等。附加约束条件的光束法区域网平差在四拼数码航空相机平台检校中的应用[J]. 测绘学报, 2014, 43(1): 66-73.
[6]	Shum H Y, Szeliski R. Construction of Panoramic Image Mosaics with Global and Local Alignment[M]. New York: Springer, 2001: 227-268.
[7]	Mor J J. The Levenberg-Marquardt Algorithm: Implementation and Theory[M]. Heidelberg: Springer, 1978: 105-116.

Bundle adjustment in real-time mosaicking of frame-sweep infrared imaging

doi: 10.3788/IRLA201645.0104002

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views