首页> 中文期刊> 《中国计算机科学前沿:英文版》 >Low-rank representation based robust face recognition by two-dimensional whitening reconstruction

Low-rank representation based robust face recognition by two-dimensional whitening reconstruction

         

摘要

1 Introduction and main contributions Recently,low-rank representation(LRR)has been introduced and applied to capture the underlying low-dimensional struc-ture of data in pattern recognition and computer vision.LRR could detect the corruptions automatically during data recov-ery under mild conditions[1].In the sense of simultaneously optimizing the data representation,LRR is claimed to well capture the global structure of the data[2].

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