Name
Abstract | ||
|---|---|---|
Recovering dynamic 3D structures from 2D image observations is highly under-constrained because of projection and missing data, motivating the use of strong priors to constrain shape deformation. In this paper, we empirically show that the spatiotemporal covariance of natural deformations is dominated by a Kronecker pattern. We demonstrate that this pattern arises as the limit of a spatiotemporal ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPAMI.2016.2638904 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Three-dimensional displays,Shape,Trajectory,Spatiotemporal phenomena,Solid modeling,Data models,Cameras | Markov random field,Computer science,Artificial intelligence,Missing data,Covariance,Autoregressive model,Matrix normal distribution,Kronecker delta,Mathematical optimization,Pattern recognition,Markov chain,Algorithm,Prior probability | Journal |
Volume | Issue | ISSN |
39 | 11 | 0162-8828 |
Citations | PageRank | References |
2 | 0.36 | 38 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomas Simon | 1 | 222 | 13.27 |
| Jack Valmadre | 2 | 466 | 14.08 |
| Iain Matthews | 3 | 4900 | 253.61 |
| Yaser Sheikh | 4 | 2118 | 92.13 |