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- W2138357385 abstract "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." @default.
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- W2138357385 date "2008-01-01" @default.
- W2138357385 modified "2023-10-05" @default.
- W2138357385 title "Large Scale Scenes Reconstruction from Multiple Views" @default.
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- W2138357385 doi "https://doi.org/10.1109/iscsct.2008.323" @default.
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