Description: Proposed using support vector machine (SVM) fusion of three different characteristics based on facial expression recognition method that facial expression recognition, facial expression, said that PCA, SVM and FLD expression indicated that expression. The use of SVM for feature extraction, an efficient program options projection axis. After the extraction of various features that, for each facial feature with a nearest neighbor classifier order a preliminary identification on support vector machine fusion of these classification results of the final identification of expression. And hardware implementation for the current situation has not presented with TI' s DaVinci DSP chip family build parallel systems to achieve the SVM fusion program, discussed and optimized DSP algorithm of the process, through experimental results show that the proposed scheme is effective.
File list (Check if you may need any files):
SVM\Debug\example_set.obj
...\.....\globals.obj
...\.....\kernel.obj
...\.....\learn.exe
...\.....\learn.ilk
...\.....\learn.obj
...\.....\learn.pdb
...\.....\parameters.obj
...\.....\smo.obj
...\.....\svm_c.obj
...\.....\svm_nu.obj
...\.....\vc60.idb
...\.....\vc60.pdb
...\examples\myparam.txt
...\........\param.dat
...\........\svmtrain.74.dat
...\........\svmtrain.dat
...\........\trainreg.100.dat
...\........\trainreg.100.dat.pred
...\........\trainreg.100.dat.svm
...\........\trainreg.100.log
...\........\trainreg.101.dat
...\........\trainreg.74.dat
...\........\trainreg.dat
...\........\trainset.100.dat
...\example_set.cpp
...\example_set.h
...\globals.cpp
...\globals.h
...\kernel.cpp
...\kernel.h
...\learn.cpp
...\learn.dsp
...\learn.dsw
...\learn.ncb
...\learn.opt
...\learn.plg
...\mySVM.dsp
...\mySVM.dsw
...\mySVM.ncb
...\mySVM.opt
...\mySVM.plg
...\output.txt
...\parameters.cpp
...\parameters.h
...\predict.cpp
...\predict.dsp
...\predict.dsw
...\predict.ncb
...\predict.opt
...\predict.plg
...\Readme.txt
...\..lease\predict.obj
...\.......\vc60.idb
...\smo.cpp
...\smo.h
...\StdAfx.cpp
...\StdAfx.h
...\svm_c.cpp
...\svm_c.h
...\svm_nu.cpp
...\svm_nu.h
...\test.txt
...\train-svm.txt
...\train.txt
...\validation-pred.txt
...\validation.txt
...\version.h
...\Debug
...\examples
...\Release
SVM
Download