FERET人臉圖象數(shù)據(jù)庫(kù)處理代碼，與大家共享
上傳時(shí)間： 2013-12-17
上傳用戶(hù)：wab1981
FERET人臉庫(kù)的處理代碼。內(nèi)函預(yù)處理，分類(lèi)，等代碼。
上傳時(shí)間： 2013-12-18
上傳用戶(hù)：nanshan
這是一個(gè)FERET數(shù)據(jù)庫(kù),對(duì)做模式識(shí)別的人來(lái)說(shuō)非常有用的庫(kù).
標(biāo)簽： FERET 數(shù)據(jù)庫(kù) 模式識(shí)別
上傳時(shí)間： 2016-10-08
上傳用戶(hù)：qunquan
pca人臉識(shí)別This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Principal Component Analysis
上傳時(shí)間： 2014-01-03
上傳用戶(hù)：佳期如夢(mèng)
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時(shí)間： 2016-06-25
上傳用戶(hù)：trepb001
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時(shí)間： 2016-06-25
上傳用戶(hù)：hakim
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時(shí)間： 2016-06-25
上傳用戶(hù)：cylnpy
PCA人臉識(shí)別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時(shí)間： 2013-12-16
上傳用戶(hù)：JIUSHICHEN
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