Title :
Generalised nearest feature line for subspace learning
Author :
Pang, Y. ; Yuan, Y. ; Li, X.
Author_Institution :
Tianjin Univ., Tianjin
Abstract :
Nearest feature line (NFL) is a powerful tool in pattern recognition, which generalises the representational capacity of available prototypes by using linear interpolation and extrapolation between the feature points. NFL is generalised to subspace learning so that the obtained subspace has desirable discriminating ability. Experiments on face recognition demonstrate its effectiveness.
Keywords :
computer vision; extrapolation; face recognition; interpolation; computer vision; face recognition; generalised nearest feature line; linear extrapolation; linear interpolation; pattern recognition; subspace learning;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20072176
