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Registration Method of Sparse Representation Classification Method
Jing WANG
Guangda SU
Publication
IEICE TRANSACTIONS on Information and Systems Vol.E95-D No.5 pp.1332-1335
Publication Date: 2012/05/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Recent Advances in Multimedia Signal Processing Techniques and Applications)
Category: Image Processing
Keyword:
classification,
face recognition,
face registration,
sparse representation,
Full Text: PDF(174.6KB)
Summary:
Sparse representation based classification (SRC) has emerged as a new paradigm for solving face recognition problems. Further research found that the main limitation of SRC is the assumption of pixel-accurate alignment between the test image and the training set. A. Wagner used a series of linear programs that iteratively minimize the sparsity of the registration error. In this paper, we propose another face registration method called three-point positioning method. Experiments show that our proposed method achieves better performance.
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