Name
Abstract | ||
|---|---|---|
This paper shows how current sparse approaches to Non-Rigid Structure From Motion (NRSfM) can be extended to template-free dense reconstruction. Our contribution can be broken down into two components: (i) We provide asymptotic improvements to current optimisation approaches, allowing them to scale to the dense case. (ii) We remove the need to estimate an initial rest shape or a known 3d template. This both increases the robustness of the method, allowing it to be applied to arbitrary sequences, and further decreases the run-time of our approach. Extending the existing techniques of NRSfM to fullyautomatic and dense template-free reconstruction substantially increases the difficulty of the optimisation problems faced, and we provide novel approaches for avoiding local minima in both discrete and continuous sub-problems. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/3DIMPVT.2012.70 | 3D Imaging, Modeling, Processing, Visualization and Transmission |
Keywords | DocType | ISBN |
dense template-free reconstruction,dense non-rigid structure,current optimisation approach,asymptotic improvement,current sparse approach,arbitrary sequence,optimisation problem,continuous sub-problems,dense case,dense reconstruction,non-rigid structure | Conference | 978-1-4673-4470-8 |
Citations | PageRank | References |
13 | 0.56 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chris Russell | 1 | 1132 | 50.95 |
| Joao Fayad | 2 | 41 | 1.37 |
| Lourdes Agapito | 3 | 1119 | 56.35 |