Name
Abstract | ||
|---|---|---|
This paper proposes a method for face reconstruction that makes use of only a small set of feature points. Faces can be modeled by forming linear combinations of prototypes of shape and texture information. With the shape and future information at the feature points alone, we can achieve only an approximation to the deformation required. In such an underdetermined condition, we find an optimal solution using a simple least square minimization method. As experimental results, we show well-reconstructed 2D faces even from a small number of feature points |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICPR.2000.906205 | ICPR |
Field | DocType | Volume |
Iterative reconstruction,Computer vision,Linear combination,Facial recognition system,Underdetermined system,Pattern recognition,Computer science,Image texture,Feature (computer vision),Artificial intelligence,Face detection,Small set | Conference | 2 |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-0750-6 | 13 |
PageRank | References | Authors |
1.44 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bon-Woo Hwang | 1 | 177 | 16.33 |
| Seong-Whan Lee | 2 | 3756 | 343.90 |
| Volker Blanz | 3 | 3538 | 308.38 |
| Thomas Vetter | 4 | 4528 | 529.79 |