Name
Abstract | ||
|---|---|---|
3D face recognition for partial data is a very challenging task. The task is even more challenging when the gallery sample originates from one side of the face while the probe sample originates from the other. We present a new method for computing the similarity of partial 3D data for the purpose of face recognition. This method improves upon an existing Semi-Coupled Dictionary Learning method by computing a jointly-optimized solution that incorporates the reconstruction cost, the discrimination cost and the semi-coupling cost. Our experiments demonstrate that this method can improve the recognition performance of existing state-of-the-art wavelet signatures used for 3D face recognition. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/FG.2013.6553743 | FG |
Keywords | Field | DocType |
face recognition,image reconstruction,wavelet transforms,3D face recognition,discrimination cost,reconstruction cost,semicoupled dictionary learning method,semicoupling cost,wavelet signature | Iterative reconstruction,Facial recognition system,Dictionary learning,Pattern recognition,Three-dimensional face recognition,Computer science,Speech recognition,Artificial intelligence,Wavelet packet decomposition,Wavelet,Encoding (memory),Wavelet transform | Conference |
ISSN | Citations | PageRank |
2326-5396 | 2 | 0.35 |
References | Authors | |
17 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dat Chu | 1 | 28 | 1.42 |
| Shishir K Shah | 2 | 501 | 40.08 |
| Ioannis A. Kakadiaris | 3 | 1910 | 203.66 |