Name
Abstract | ||
|---|---|---|
3D Human shape tracking consists in fitting a template model to temporal sequences of visual observations. It usually comprises an association step, that finds correspondences between the model and the input data, and a deformation step, that fits the model to the observations given correspondences. Most current approaches follow the Iterative-Closest-Point (ICP) paradigm, where the association st... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2740308 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Shape,Three-dimensional displays,Deformable models,Data models,Iterative closest point algorithm,Surface reconstruction,Robustness | Voxel,Computer vision,Centroidal Voronoi tessellation,Pattern recognition,Computer science,Volume mesh,Robustness (computer science),Artificial intelligence,Overfitting,Tessellation,Random forest,Discriminative model | Journal |
Volume | Issue | ISSN |
40 | 8 | 0162-8828 |
Citations | PageRank | References |
0 | 0.34 | 51 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Hao Huang | 1 | 146 | 12.21 |
| Benjamin Allain | 2 | 26 | 2.33 |
| Edmond Boyer | 3 | 2758 | 130.84 |
| Jean-Sébastien Franco | 4 | 190 | 12.74 |
| Federico Tombari | 5 | 1802 | 98.90 |
| Nassir Navab | 6 | 6594 | 578.60 |
| Slobodan Ilic | 7 | 1307 | 67.56 |