Name
Title | ||
|---|---|---|
Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person |
Abstract | ||
|---|---|---|
Face recognition (FR) with a single training sample per person (STSPP) is a very challenging problem due to the lack of information to predict the variations in the query sample. Sparse representation based classification has shown interesting results in robust FR, however, its performance will deteriorate much for FR with STSPP. To address this issue, in this paper we learn a sparse variation dictionary from a generic training set to improve the query sample representation by STSPP. Instead of learning from the generic training set independently w.r.t. the gallery set, the proposed sparse variation dictionary learning (SVDL) method is adaptive to the gallery set by jointly learning a projection to connect the generic training set with the gallery set. The learnt sparse variation dictionary can be easily integrated into the framework of sparse representation based classification so that various variations in face images, including illumination, expression, occlusion, pose, etc., can be better handled. Experiments on the large-scale CMU Multi-PIE, FRGC and LFW databases demonstrate the promising performance of SVDL on FR with STSPP. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCV.2013.91 | ICCV |
Keywords | Field | DocType |
sparse variation dictionary,proposed sparse variation dictionary,single training sample,face recognition,query sample,robust fr,learnt sparse variation dictionary,gallery set,generic training,query sample representation,sparse representation,sparse variation dictionary learning,learning artificial intelligence | Training set,Computer vision,Facial recognition system,Dictionary learning,Pattern recognition,K-SVD,Computer science,Image representation,Sparse approximation,Speech recognition,Artificial intelligence | Conference |
Volume | Issue | ISSN |
2013 | 1 | 1550-5499 |
Citations | PageRank | References |
67 | 1.31 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Yang | 1 | 1876 | 57.14 |
| Luc Van Gool | 2 | 27566 | 1819.51 |
| Lei Zhang | 3 | 16326 | 543.99 |