Name
Abstract | ||
|---|---|---|
Creating virtual models of real spaces and objects is cumbersome and time
consuming. This paper focuses on the problem of geometric reconstruction from
sparse data obtained from certain image-based modeling approaches. A number of
elegant and simple-to-state problems arise concerning when the geometry can be
reconstructed. We describe results and counterexamples, and list open problems. |
Year | Venue | Keywords |
|---|---|---|
2010 | Clinical Orthopaedics and Related Research | sparse data,computational geometry |
Field | DocType | Volume |
Theoretical computer science,Geometric reconstruction,Counterexample,Mathematics,Sparse matrix | Journal | abs/1003.3 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleanor Rieffel | 1 | 488 | 48.71 |
| Don Kimber | 2 | 365 | 43.84 |
| Jim Vaughan | 3 | 69 | 8.52 |