Our article titled “Signed Distance based 3D Surface Reconstruction from Unorganized Planar Cross-sections” co-authored by Ojaswa Sharma and Nidhi Agarwal is published in the journal Computers & Graphics (CAG).
This work addresses the problem of 3D surface reconstruction from 2D planar cross sections of an object. Our algorithm is based on the construction of a globally consistent signed distance function over the cutting planes. It uses a split-and-merge approach utilising Hermite mean-value interpolation for triangular meshes. This work improves on recent approaches by providing a simplified construction that avoids need for post-processing to smooth the reconstructed object boundary. We provide results of reconstruction and its comparison with other algorithms. We build on our recent work by providing a better estimate of normals along the cross-sectional curves, and by showing robustness of the algorithm under increasing number of cutting planes.
The article can be accessed here: http://dx.doi.org/10.1016/j.cag.2016.12.002