Name
Title | ||
|---|---|---|
A New Face Recognition Algorithm based on Dictionary Learning for a Single Training Sample per Person. |
Abstract | ||
|---|---|---|
The number of the training samples per person has a significant impact on face recognition (FR) performance. For the single training sample per person (STSPP) problem, most traditional FR algorithms exhibit performance degradation owing to the limited information available to predict the variance of the query sample. This paper proposes a new method for the STSPP problem in FR, namely the Learn-Generate-Classify (LGC) method. The overall framework of the LGC method is presented in Fig.1. |
Year | Venue | Field |
|---|---|---|
2015 | BMVC | Facial recognition system,Dictionary learning,Pattern recognition,Computer science,Algorithm,Speech recognition,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 1 | 0.35 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Liu | 1 | 491 | 116.11 |
| Ian J. Wassell | 2 | 288 | 35.10 |