Name
Abstract | ||
|---|---|---|
A system capable of performing robust live ego-motion estimationfor perspective cameras is presented. The system is powered byrandom sample consensus with preemptive scoring of the motionhypotheses. A general statement of the problem of efficientpreemptive scoring is given. Then a theoretical investigation ofpreemptive scoring under a simple inlier-outlier model isperformed. A practical preemption scheme is proposed and it isshown that the preemption is powerful enough to enable robust livestructure and motion estimation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/s00138-005-0006-y | Machine Vision and Applications |
Keywords | DocType | Volume |
Structure from motion,Real-time,Robust estimation,3D-Reconstruction,Ego-motion | Journal | 16 |
Issue | ISSN | Citations |
5 | 0932-8092 | 198 |
PageRank | References | Authors |
13.29 | 16 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Nistér | 1 | 2265 | 118.02 |