Name
Title | ||
|---|---|---|
Fast deformable model-based human performance capture and FVV using consumer-grade RGB-D sensors. |
Abstract | ||
|---|---|---|
•A novel end-to-end system for fast model-based reconstruction of human actor performances into 3D mesh sequences is proposed.•The system takes as input the RGB-Depth data from multiple low-cost sensors.•It outputs a sequence of temporally-coherent textured meshes, enabling realistic Free Viewpoint Video (FVV).•The system implicitly performs human articulated motion tracking.•The framework is based on the automatic generation of a skinned model, on-line pose estimation and model deformation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2018.02.013 | Pattern Recognition |
Keywords | Field | DocType |
Dynamic mesh sequences,RGB-D sensors,3D reconstruction,Articulated motion,Surface deformation,Deformable models,Free Viewpoint | Computer vision,Motion capture,Texture mapping,Fidelity,Polygon mesh,Force field (chemistry),Pattern recognition,Robustness (computer science),Artificial intelligence,RGB color model,Small set,Mathematics | Journal |
Volume | Issue | ISSN |
79 | 1 | 0031-3203 |
Citations | PageRank | References |
3 | 0.42 | 49 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitrios S. Alexiadis | 1 | 313 | 21.46 |
| Nikolaos Zioulis | 2 | 34 | 10.15 |
| Dimitrios Zarpalas | 3 | 303 | 33.96 |
| Petros Daras | 4 | 1129 | 131.72 |