Name
Abstract | ||
|---|---|---|
•We construct an automatic algorithm using high-entropy points instead of landmarks, and take both global and local features of faces into consideration for accurate semantic correspondence.•We consider topological correspondence and propose a mesh correction algorithm to filter out non-uniform local deformations, and this helps the construction of a compact 3D face model.•We leverage a prior model with shape and normal statistics to handle hard samples with outliers, noises and expressions. This benefits robustness of the correspondence process with supervised domain knowledge of faces. |
Year | DOI | Venue |
|---|---|---|
2023 | 10.1016/j.patcog.2022.108971 | Pattern Recognition |
Keywords | DocType | Volume |
3D face,Dense correspondence,Non-rigid registration | Journal | 133 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenfeng Fan | 1 | 1 | 2.04 |
| Xiyuan Hu | 2 | 108 | 19.03 |
| Chen Chen | 3 | 4 | 4.44 |
| Xiaolian Wang | 4 | 0 | 0.34 |
| S. Peng | 5 | 332 | 40.36 |