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Large Scale Scenes Reconstruction from Multiple Views

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4 Author(s)
Shi Limin ; Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China ; Zhang Feng ; Xu Zhenhui ; Hu Zhanyi

In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by matching key points across images. Then it builds a tetrahedral decomposition of space by computing the 3D Delaunay triangulation of the 3D point set. Finally, a triangular mesh of the scene is extracted by labeling Delaunay tetrahedra as inside or outside. A globally optimal label assignment is efficiently found as a minimum cut solution in a graph. Experimental results demonstrate the effectiveness of the proposed algorithm.

Published in:

Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on  (Volume:2 )

Date of Conference:

20-22 Dec. 2008

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