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.



Edited by:

Mohamed Othman




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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