A Fast Orthoimage Mosaic Method for Application of Grid

Zheng Guo Li; Bo Wang; Yong Sheng Zhang; Xiao Chong Tong; Wei Can Meng; Quan Fu Bao

doi:10.4028/www.scientific.net/AMM.151.685

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 151A Fast Orthoimage Mosaic Method for Application of...

A Fast Orthoimage Mosaic Method for Application of Grid

Abstract:

Traditional orthoimage mosaic methods do not perform well in computational speed and geometric precision. This paper proposed a fast orthoimage mosaic method for the application of grid. First of all, down-sample the original images and extracts feature, and adopt SANSAC to estimate the relative initial homography; second, refine homography matrix by Levenberg-Marquardt method and use the sparse bundle adjustment method to estimate the precise homography matrix; Third, passed the homography matrix to the original level of image by the homography relationship of the down-sampling and original image. Finally, synthesize the mosaic image. Our experiments showed that the method combined the down-sampling homography relationship of original image with sparse bundle adjustment organically, which effectively improved the speed and obtained geometric seamless mosaic.

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Periodical:

Applied Mechanics and Materials (Volume 151)

Pages:

685-689

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.151.685

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Online since:

January 2012

Authors:

Zheng Guo Li, Bo Wang, Yong Sheng Zhang, Xiao Chong Tong, Wei Can Meng, Quan Fu Bao

Keywords:

Feature Extraction, Homography Matrix, Image Mosaic, Orthoimage, Sparse Bundle Adjustment

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References

[1] Bay H, Tuytelaars T, Van Gool L. SURF: Speeded up robust features [A]. In: European Conference on Computer Vision[C], 2006, 1: 404-417.

DOI: 10.1007/11744023_32

Google Scholar

[2] Bo Wang. A fast UAV image mosaic method generating geometric consistency [J]. Geometrics Science, (2011).

Google Scholar

[3] Lourakis M I A, Argyros A A. SBA: A software package for generic sparse bundle adjustment [J]. ACM Transactions on Mathematical Software, 2009, 36(1): 1-30.

DOI: 10.1145/1486525.1486527

Google Scholar

[4] Bo Wang. Automatic Mosaic of UAV Remote Sensing Image Based on Features [D]. Thesis for master degree, Information and Engineering University, 2011. 06.

Google Scholar

[5] Richard H, Andrew Z. Computer Vision in multi-view geometry [M]. Sui Wei translates. Anhui: Anhui University Press, 2002：52-82.

Google Scholar

[6] Brown, M. and Lowe, D. Automatic panoramic image stitching using invariant features [J]. International Journal of Computer Vision, 2007, 74(1): 59–73.

DOI: 10.1007/s11263-006-0002-3

Google Scholar