Registration of Building Intensity Image and its Color Image Using SIFT Algorithm

Gui Hua Cang; Jian Ping Yue

doi:10.4028/www.scientific.net/AMM.638-640.2160

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 638-640Registration of Building Intensity Image and its...

Registration of Building Intensity Image and its Color Image Using SIFT Algorithm

Abstract:

Fusion of close range photogrammetry (CRP) and terrestrial laser scanning (TLS) technology has been a hot topic in the field of building reconstruction. There are many ways to realize the fusion of the two kind data. In this paper, we propose a method for 3D-2D data registration based on Scale Invariant Feature Transform (SIFT) algorithm and range intensity data. 3D terrestrial laser scanner and digital camera are different sensors, which will lead to large difference between intensity image (derived from range intensity data) and color image. The traditional image matching method can not apply to register these kind images. This paper focuses on studying the feasibility and practicability of SIFT algorithm on such different images matching. The result shows that the principal of SIFT method is suitable for the registration of the two kind images.

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Periodical:

Applied Mechanics and Materials (Volumes 638-640)

Pages:

2160-2163

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.638-640.2160

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Online since:

September 2014

Authors:

Gui Hua Cang*, Jian Ping Yue

Keywords:

Color Image, Image Registration, Intensity Image, SIFT Algorithm, Terrestrial Laser Scanning

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References

[1] Z. Zhang, X. Huang, F. Zhang, and Y. Chang: International Conference on Earth Observation Data Processing and Analysis (ICEODPA) (Wuhan, China, December 28-30, 2008).

Google Scholar

[2] A. Habib, M. Ghanma, M. Morgan, and R. Al-ruzouq: Photogrammetric Engineering and Remote Sensing, Vol. 71(2005), p.699.

DOI: 10.14358/pers.71.6.699

Google Scholar

[3] L. Liu, I. Stamos, G. Yu, and S. Zokai: Proc. of Computer Vision and Pattern Recognition (Miami, Florida, USA, June 20-25, 2009).

Google Scholar

[4] W. Zhao, D. Nister, and S. Hsu: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27(2005), p.1305.

Google Scholar

[5] A. Mastin, J. Kepner, and J. Fisher: Proc. of Computer Vision and Pattern Recognition (Miami, Florida, USA, June 20-25, 2009).

Google Scholar

[6] L. Wang, and L. W. Li: Geospatial Information, Vol. 8(2010), p.56 (in Chinese).

Google Scholar

[7] M. Brown, and D. Lowe: Proc. of the Fifth International Conference on 3D Digital Imaging and Modeling (3DIM 2005) (Ottawa, Canada, June 13-16, 2005).

Google Scholar

[8] D.G. Lowe: International Journal of Computer Vision, Vol. 60(2004), p.91.

Google Scholar

[9] F. L. Wendt, S. Bres, B. Tellez, and R. Laurini: Image and Signal Processing - 3rd International Conference(ICISP 2008) (Cherbourg-Octeville, France, July 1-3, 2008).

DOI: 10.1007/978-3-540-69905-7_50

Google Scholar