Name
Abstract | ||
|---|---|---|
Motivation Direct reconstruction of 3D face shape—solely based on a sparse set of 2D feature points localized by a facial landmark detector— offers an automatic, efficient and illumination-invariant alternative to the widely known analysis-by-synthesis framework, which is extremely timeconsuming considering the enormous parameter space for both shape and photometric properties. Given 2D landmarks y and their correspondence on the 3D Morphable Model (3DMM), the 3D shape can be recovered by minimizing the distance between 2D and the projected 3D landmarks |
Year | Venue | Field |
|---|---|---|
2015 | BMVC | Computer vision,Pattern recognition,Computer science,Invariant (mathematics),Artificial intelligence,Parameter space,Landmark,Shape reconstruction,Detector |
DocType | Citations | PageRank |
Conference | 6 | 0.40 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengchao Qu | 1 | 34 | 5.89 |
| Eduardo Monari | 2 | 19 | 3.33 |
| Tobias Schuchert | 3 | 93 | 12.21 |
| Jürgen Beyerer | 4 | 315 | 75.37 |