Analysis of PCA and LDA Features for Facial Expression Recognition Using SVM and HMM Classifiers

被引：19

作者：

Varma, Satishkumar ^{[1
]}

Shinde, Megha ^{[1
]}

Chavan, Satishkumar S. ^{[2
]}

机构：

[1] Pillai Coll Engn, Navi Mumbai, India

[2] Don Bosco Inst Technol, Mumbai, Maharashtra, India

来源：

TECHNO-SOCIETAL 2018: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SOCIETAL APPLICATIONS - VOL 1 | 2020年

关键词：

Facial expression recognition; Emotion classification; Principal component analysis; Linear discriminant analysis; Support vector machine; Hidden Markov model;

D O I：

10.1007/978-3-030-16848-3_11

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

引用

页码：109 / 119

页数：11

共 17 条

[11] PCA versus LDA [J].

Martìnez, AM ;

Kak, AC .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (02) :228-233

[12]

Nefian AV, 1998, INT CONF ACOUST SPEE, P2721, DOI 10.1109/ICASSP.1998.678085

[13] Facial expression recognition based on Local Binary Patterns: A comprehensive study [J].

Shan, Caifeng ;

Gong, Shaogang ;

McOwan, Peter W. .

IMAGE AND VISION COMPUTING, 2009, 27 (06) :803-816

[14] Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields [J].

Siddiqi, Muhammad Hameed ;

Ali, Rahman ;

Khan, Adil Mehmood ;

Park, Young-Tack ;

Lee, Sungyoung .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 24 (04) :1386-1398

[15]

Staelin C., 2003, HPL2002354, V354, P1, DOI [10.1016/j.aca.2011.07.027, DOI 10.1016/J.ACA.2011.07.027]

[16] EIGENFACES FOR RECOGNITION [J].

TURK, M ;

PENTLAND, A .

JOURNAL OF COGNITIVE NEUROSCIENCE, 1991, 3 (01) :71-86

[17]

Weston J., 1999, 7th European Symposium on Artificial Neural Networks. ESANN'99. Proceedings, P219

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