dc.contributor.author | Agarwal, Nidhi | |
dc.contributor.author | Sharma, Ojaswa (Advisor) | |
dc.date.accessioned | 2015-12-02T12:38:02Z | |
dc.date.available | 2015-12-02T12:38:02Z | |
dc.date.issued | 2015-12-02T12:38:02Z | |
dc.identifier.uri | https://repository.iiitd.edu.in/jspui/handle/123456789/344 | |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.subject | 3D reconstruction | en_US |
dc.subject | Sparse cross-sections | en_US |
dc.subject | Hermite mean-value interpolation | en_US |
dc.title | 3D reconstruction from sparse unorganized cross sections | en_US |
dc.type | Thesis | en_US |