3D reconstruction of object is an interest subject in computer vision. A method for 3D reconstruction of object was proposed by integrating a set of depth maps obtained by Kinect sensor. To aggregate the contributions of the depth images at their corresponding scale, the depth images were triangulated in image space firstly, and the next step was to insert the triangulated depth images into the hierarchical signed distance field, then the global Delaunay tetrahedralization was applied to all the voxel positions yielding a convex hull that covers all the voxels, and the marching tetrahedra algorithm was applied to the resulting tetrahedral mesh for extracting the surface. Experimental results show that this method can make use of 37 depth images by Kinect sensor at different directions with the resolution of 640480 to extract high-quality surfaces, which only costs 48 s.
Key words
depth images fusion /
computer vision /
signed distance field /
3D reconstruction /
Delaunay tetrahedralization /
Marching Tetrahedra
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Footnotes
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