Abstract | ||
---|---|---|
We propose a completely automatic approach for recognizing low resolution face images captured in uncontrolled environment. The approach uses multidimensional scaling to learn a common transformation matrix for the entire face which simultaneously transforms the facial features of the low resolution and the high resolution training images such that the distance between them approximates the distan... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TPAMI.2015.2469282 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Face,Probes,Image resolution,Training,Lighting,Face recognition,Testing | Stereo matching,Computer vision,Facial recognition system,Entire face,Multidimensional scaling,Pattern recognition,Computer science,Artificial intelligence,Transformation matrix,Classifier (linguistics),Image resolution,Modal | Journal |
Volume | Issue | ISSN |
38 | 5 | 0162-8828 |
Citations | PageRank | References |
17 | 0.63 | 33 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
sivaram prasad mudunuri | 1 | 23 | 3.06 |
Soma Biswas | 2 | 409 | 28.08 |