A spectral feature based approach for face recognition with one training sample
In this paper, a novel spectral feature image-based 2DLDA (two-dimensional linear discriminant analysis) ensemble algorithm is proposed for face recognition with one sample image per person. In our algorithm, multi-resolution spectral feature images are constructed to represent the face images. The...
Saved in:
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/97925 http://hdl.handle.net/10220/12081 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |