face recognition using PCA
2016-08-23
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Principal
component analysis is a technique used in
statistical pattern
recognition for data
reduction and feature extraction. As the pattern
mostly contain redundant information, mapping it to a
feature vectore can eliminate the redundancy and and also retain most of the
salient content of the
pattern,which major role in distinguishing input patterns.
component analysis is a technique used in
statistical pattern
recognition for data
reduction and feature extraction. As the pattern
mostly contain redundant information, mapping it to a
feature vectore can eliminate the redundancy and and also retain most of the
salient content of the
pattern,which major role in distinguishing input patterns.
matlab
pca
识别
人脸
使用
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