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3D reconstruction from sparse unorganized cross sections
| Content Provider | Indraprastha Institute of Information Technology, Delhi |
|---|---|
| Author | Agarwal, Nidhi |
| Abstract | In this thesis work, we propose an algorithm for smooth 3D object reconstruction from un- organized planar cross sections. We address the problem in its full generality, and show its e ectiveness on sparse set of cutting planes. Our algorithm is based on construction of a glob- ally consistent signed distance function over the cutting planes. It uses a divide-and-conquer approach utilizing Hermite mean-value interpolation for triangular meshes. This work improvises on recent approaches by providing a simpli ed construction that avoids need for post-processing to smoothen the reconstructed object boundary. We provide results of reconstruction and its comparison with other algorithms. |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | 3D reconstruction Sparse cross-sections Hermite mean-value interpolation |
| Content Type | Text |
| Educational Degree | Master of Technology (M.Tech.) |
| Resource Type | Thesis |
| Subject | Data processing & computer science |
