Iterative Subspace Analysis Based on Feature Line Distance

作者：Pang Yanwei^*; Yuan Yuan; Li Xuelong

来源：IEEE Transactions on Image Processing, 2009, 18(4): 903-907.

DOI：10.1109/TIP.2008.2011167

• Face recognition
• feature line
• subspace

Nearest feature line-based subspace analysis Is first proposed In this paper. Compared with conventional methods, the newly proposed one brings better generalization performance and incremental analysis. The projection point and feature line distance are expressed as a function of a subspace, which Is obtained by minimizing the mean square feature line distance. Moreover, by adopting stochastic approximation rule to minimize the objective function In a gradient manner, the new method can be performed In an Incremental mode, which makes It working well upon future data. Experimental results on the FERET face database and the UCI satellite image database demonstrate the effectiveness.

• 出版日期2009-4
• 单位天津大学