Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features
碩士 === 國立成功大學 === 電機工程學系碩博士班 === 100 === Face recognition has been an active research area due to its wide range of application in information security, law enforcement, human-computer interaction, airport security, and video surveillance systems. Face recognition commits errors such as illumination...
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ndltd-TW-100NCKU54420842015-10-13T21:33:37Z http://ndltd.ncl.edu.tw/handle/94487216113561332863 Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features 以整體與局部特徵作各種情況的人臉辨識 Chang-JengTsai 蔡長錚 碩士 國立成功大學 電機工程學系碩博士班 100 Face recognition has been an active research area due to its wide range of application in information security, law enforcement, human-computer interaction, airport security, and video surveillance systems. Face recognition commits errors such as illumination conditions, pose, facial expression, aging, partial occlusions. In the thesis, we propose global and local discriminative features for face recognition under various facial conditions. The global and local discriminative features consists of two mainly discriminant information for face recognition. The global feature extracted from the whole face image using local linear discrimination analysis. The local feature selects four facial features using local binary patterns and local linear discrimination analysis. Local linear discriminant analysis can preserve the information of the region structure. The local classifier combines classifier of four local regions. The combination classifier combines the global and local classifiers. As shown in experimental result, the global and local discriminative features can have more effective discriminative power than traditional face recognition methods. Yen-Tai Lai 賴源泰 2012 學位論文 ; thesis 47 en_US |
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碩士 === 國立成功大學 === 電機工程學系碩博士班 === 100 === Face recognition has been an active research area due to its wide range of application in information security, law enforcement, human-computer interaction, airport security, and video surveillance systems. Face recognition commits errors such as illumination conditions, pose, facial expression, aging, partial occlusions.
In the thesis, we propose global and local discriminative features for face recognition under various facial conditions. The global and local discriminative features consists of two mainly discriminant information for face recognition. The global feature extracted from the whole face image using local linear discrimination analysis. The local feature selects four facial features using local binary patterns and local linear discrimination analysis. Local linear discriminant analysis can preserve the information of the region structure. The local classifier combines classifier of four local regions. The combination classifier combines the global and local classifiers.
As shown in experimental result, the global and local discriminative features can have more effective discriminative power than traditional face recognition methods.
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Yen-Tai Lai |
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Yen-Tai Lai Chang-JengTsai 蔡長錚 |
author |
Chang-JengTsai 蔡長錚 |
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Chang-JengTsai 蔡長錚 Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features |
author_sort |
Chang-JengTsai |
title |
Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features |
title_short |
Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features |
title_full |
Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features |
title_fullStr |
Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features |
title_full_unstemmed |
Face Recognition Under Various Facial Conditions by Using Global and Local Discriminative Features |
title_sort |
face recognition under various facial conditions by using global and local discriminative features |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/94487216113561332863 |
work_keys_str_mv |
AT changjengtsai facerecognitionundervariousfacialconditionsbyusingglobalandlocaldiscriminativefeatures AT càizhǎngzhēng facerecognitionundervariousfacialconditionsbyusingglobalandlocaldiscriminativefeatures AT changjengtsai yǐzhěngtǐyǔjúbùtèzhēngzuògèzhǒngqíngkuàngderénliǎnbiànshí AT càizhǎngzhēng yǐzhěngtǐyǔjúbùtèzhēngzuògèzhǒngqíngkuàngderénliǎnbiànshí |
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