Efficient facial expression recognition via convolution neural network and infrared imaging technology
Authors:
- Huiting WuHWHuiting Wu
- Yanshen LiuYLYanshen Liu
- Yi LiuYLYi Liu
- Sanya LiuSLSanya Liu
- 1 November 2019
- journal article
- research article
- Published by Elsevier in Infrared Physics & Technology
- Vol. 102
Abstract
No abstract availableKeywords
Funding Information
- National Basic Research Program of China (2017YFB1401300, 2017YFB1401303)
This publication has 58 references indexed in Scilit:
- Deconvolution in Acousto-Optical Tunable Filter SpectrometryApplied Spectroscopy, 2010
- Self-Weighted Correlation Coefficients and Their Application to Measure Spectral SimilarityApplied Spectroscopy, 2009
- The Role and Selection of the Filter Function in Fourier Self-Deconvolution RevisitedApplied Spectroscopy, 2009
- Identification of Listeria Species Using a Low-Cost Surface-Enhanced Raman Scattering System With Wavelet-Based Signal ProcessingIEEE Transactions on Instrumentation and Measurement, 2009
- ForWaRD: Fourier-Wavelet Regularized Deconvolution for Ill-Conditioned SystemsIEEE Transactions on Signal Processing, 2004
- A blind-deconvolution approach for chromatographic and spectroscopic peak restorationIEEE Transactions on Instrumentation and Measurement, 1998
- Compression of Infrared Spectral Data Using the Fast Wavelet Transform MethodApplied Spectroscopy, 1997
- The use of deconvolution and iterative optimization for spectrogram interpretationIEEE Transactions on Instrumentation and Measurement, 1997
- A deconvolution method for spectroscopyMeasurement Science and Technology, 1995
- Precise navigation using adaptive FIR filtering and time domain spectral estimationIEEE Transactions on Aerospace and Electronic Systems, 1994