Facial expression recognition and its application based on curvelet transform and PSO-SVM-Reference-Cited by-同舟云学术

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Facial expression recognition and its application based on curvelet transform and PSO-SVM

Published:2013-11 Issue:22 Volume:124 Page:5401-5406
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Tang Min,Chen Feng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Educational Committee

Nantong Municipal Natural Science and Technological Application Foundation

Nantong University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference19 articles.

1. Fatigue monitoring program for the Susquehanna unit 1 reactor pressure vessel;Novak;Am. Soc. Mech. Eng.,2008

2. Face processing in human–computer interaction using curvelet analysis;Wu;J. Image Graph.,2010

3. Curvelet feature extraction for face recognition and facial expression recognition;Wu,2010

4. Curvelet entropy for facial expression recognition;Saha,2010

5. Face recognition using curvelet based PCA;Mandal;J. Comput. Inform. Syst.,2008

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1. Fast and robust online-learning facial expression recognition and innate novelty detection capability of extreme learning algorithms;Progress in Artificial Intelligence;2021-10-28

2. An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain;Advances in Intelligent Systems and Computing;2021-07-24

3. Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm;Journal of Spectroscopy;2020-09-09

4. Effective curvelet-based facial expression recognition using graph signal processing;Signal, Image and Video Processing;2019-08-16

5. A new pipeline for the recognition of universal expressions of multiple faces in a video sequence;Journal of Real-Time Image Processing;2019-07-04

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