Reconstructing Thin Structures of Manifold Surfaces
by Integrating Spatial Curves
Abstract
The manifold surface reconstruction in multi-view stereo
often fails in retaining thin structures due to incomplete and
noisy reconstructed point clouds. In this paper, we address
this problem by leveraging spatial curves. The curve representation in nature is advantageous in modeling thin and elongated structures, implying topology and connectivity information of the underlying geometry, which exactly compensates the weakness of scattered point clouds. We present
a novel surface reconstruction method using both curves
and point clouds. First, we propose a 3D curve reconstruction algorithm based on the initialize-optimize-extend
strategy. Then, tetrahedra are constructed from points and
curves, where the volumes of thin structures are robustly
preserved by the Curve-conformed Delaunay Refinement.
Finally, the mesh surface is extracted from tetrahedra by a
graph optimization. The method has been intensively evaluated on both synthetic and real-world datasets, showing
significant improvements over state-of-the-art methods