An Approach to Automatic Great-Scene 3D Reconstruction Based on UAV Sequence Images

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In this paper, we propose an approach to automatic great-scene 3D reconstruction based on UAV sequence images. In this method, Harris feature point and SIFT feature vector is used to distill image feature, achieving images match; quasi-perspective projection model and factorization is employed to calibrate the uncalibrated image sequences automatically; Efficient suboptimal solutions to the optimal triangulation is plied to obtain the coordinate of 3D points; quasi-dense diffusing algorithm is bestowed to make 3D point denseness; the algorithm of bundle adjustment is taken to improve the precision of 3D points; the approach of Possion surface reconstruction is used to make 3D points gridded. This paper introduces the theory and technology of computer vision into great-scene 3D reconstruction, provides a new way for the construction of 3D scene, and provides a new thinking for the appliance of UAV sequence images.

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Edited by:

Mohamed Othman

Pages:

2294-2297

Citation:

Z. M. Xiong and G. Wan, "An Approach to Automatic Great-Scene 3D Reconstruction Based on UAV Sequence Images", Applied Mechanics and Materials, Vols. 229-231, pp. 2294-2297, 2012

Online since:

November 2012

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$38.00

[1] C. Harris, M. Stephens. A Combined Corner and Edge Detector, (2000).

[2] David G. Lowe, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60, 2 (2004), pp.91-110.

DOI: https://doi.org/10.1023/b:visi.0000029664.99615.94

[3] X. R Li and Z. Y. Hu, Rejecting Mismatches by Correspondence Function, International Journal of Computer Vision, 2010, 89: 1–17.

[4] G.H. Wang, Q.M. J. Wu, Quasi-perspective Projection Model: Theory and application to structure and motion factorization from uncalibrated image sequences, International Journal of Computer Vision, July, (2009).

[5] F. C. Wu, Z. H. Wang, and Z. Y. Hu, Cayley transformation and numerical stability of calibration equations, International Journal of Computer Vision, Vol. 82, No. 4, pp.156-184, (2009).

[6] Xu Zhenhui1 , Zhang Feng1, Sun Fengmei, Hu Zhanyi. Quasi-dense Matching by Neighborhood Transfer for Fish-eye Images. ACTA AUTOMATICA SINICA. Vol. 35, No. 9, pp.1159-1167, 2009. (in Chinese).

DOI: https://doi.org/10.3724/sp.j.1004.2009.01159

[7] M. Kazhdan, M. Bolitho, and H. Hoppe, Poisson surface reconstruction. In Symp. Geom. Proc., (2006).