【毕业设计系列】023:基于PCA的人脸识别系统设计及matlab GUI实现
Date: 2019-4-17
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前言
人脸识别作为图像处理和机器视觉的经典应用,已经广泛应用于实际生活中了。本文重点讲述采用PCA降维提取特征向量的方法进行人脸识别,在ORL Database of Faces中进行训练和识别,并进行了Matlab仿真和可视化。
1、参考
https://blog.csdn.net/light_lj/article/details/26747269
https://www.cnblogs.com/zmshy2128/p/6180756.html
The ORL Database of Faces:https://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
2、Matlab实现部分
本文只提供了系统界面实现部分,PCA训练和识别的核心函数有需要的可以通过左侧公告栏中QQ图标或者直接QQ(2963033731)联系我。
function varargout = FaceRecognitionDemo(varargin)
% FACERECOGNITIONDEMO M-file for FaceRecognitionDemo.fig
% FACERECOGNITIONDEMO, by itself, creates a new FACERECOGNITIONDEMO or raises the existing
% singleton*.
%
% H = FACERECOGNITIONDEMO returns the handle to a new FACERECOGNITIONDEMO or the handle to
% the existing singleton*.
%
% FACERECOGNITIONDEMO('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in FACERECOGNITIONDEMO.M with the given input arguments.
%
% FACERECOGNITIONDEMO('Property','Value',...) creates a new FACERECOGNITIONDEMO or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before FaceRecognitionDemo_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to FaceRecognitionDemo_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help FaceRecognitionDemo
% Last Modified by GUIDE v2.5 17-Apr-2019 23:52:52
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @FaceRecognitionDemo_OpeningFcn, ...
'gui_OutputFcn', @FaceRecognitionDemo_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before FaceRecognitionDemo is made visible.
function FaceRecognitionDemo_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to FaceRecognitionDemo (see VARARGIN)
% Choose default command line output for FaceRecognitionDemo
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes FaceRecognitionDemo wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = FaceRecognitionDemo_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in selectPCA.
function selectPCA_Callback(hObject, eventdata, handles)
% hObject handle to selectPCA (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.selectPCA,'value',1);
% Hint: get(hObject,'Value') returns toggle state of selectPCA
% --- Executes on button press in clickBeginSim.
function clickBeginSim_Callback(hObject, eventdata, handles)
% hObject handle to clickBeginSim (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
if get(handles.selectPCA,'value')
gMetholdSelect=1;
end
if get(handles.selectSinglaImageRec,'value')
gOneImgOrRate=1;
end
if get(handles.selectRecogRate,'value')
gOneImgOrRate=2;
end
gTrainNum = str2double(get(handles.inputTrainNum,'string'));
if gTrainNum<=0 || gTrainNum>10
disp('error!');
end
%% face detect
if gOneImgOrRate == 1%检测单幅图片
%
if gMetholdSelect==1%
pic = double(handles.pic);
testImgData=reshape(pic,size(pic,1)*size(pic,2),1);
trainPcaData = handles.trainPcaData;
ImageIndex = recognizeSingleImgPCA(trainPcaData,testImgData);
RealIndex = ceil(ImageIndex/gTrainNum);
end
path = strcat('att_faces\s',num2str(RealIndex));
matchImg=imread(strcat(path,'\',num2str(2),'.pgm'));
axes(handles.axes2);
imshow(matchImg);
title('从人脸库中匹配出的人脸图像');
end
if gOneImgOrRate == 2%计算识别概率
if gMetholdSelect == 1
processPCARecognizeRate(handles);
end
end
% --- Executes on button press in selectRecogRate.
function selectRecogRate_Callback(hObject, eventdata, handles)
% hObject handle to selectRecogRate (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.selectSinglaImageRec,'value',0);
set(handles.selectRecogRate,'value',1);
set(handles.inputTrainNum,'Enable','off');
set(handles.buttonTrainSamples,'Enable','off');
set(handles.buttonSelectImg,'Enable','off');
% Hint: get(hObject,'Value') returns toggle state of selectRecogRate
% --- Executes on button press in selectSinglaImageRec.
function selectSinglaImageRec_Callback(hObject, eventdata, handles)
% hObject handle to selectSinglaImageRec (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
set(handles.selectSinglaImageRec,'value',1);
set(handles.selectRecogRate,'value',0);
set(handles.inputTrainNum,'Enable','on');
set(handles.buttonTrainSamples,'Enable','on');
set(handles.buttonSelectImg,'Enable','on');
% Hint: get(hObject,'Value') returns toggle state of selectSinglaImageRec
function inputTrainNum_Callback(hObject, eventdata, handles)
% hObject handle to inputTrainNum (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of inputTrainNum as text
% str2double(get(hObject,'String')) returns contents of inputTrainNum as a double
% --- Executes during object creation, after setting all properties.
function inputTrainNum_CreateFcn(hObject, eventdata, handles)
% hObject handle to inputTrainNum (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% --- Executes on button press in buttonSelectImg.
function buttonSelectImg_Callback(hObject, eventdata, handles)
% hObject handle to buttonSelectImg (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%打开文件对话框
[filename,pathname]=uigetfile({ '*.*','All Files(*.*)';}, '选择文件');
if isequal([filename,pathname],[0,0])
return
else
%读取图片
picPath = fullfile(pathname,filename);
pic = imread(picPath);
handles.pic = pic;
end
axes(handles.axes1);
imshow(handles.pic);
title('待识别的人脸图像');
% Update handles structure
guidata(hObject, handles);
% --- Executes on button press in buttonTrainSamples.
function buttonTrainSamples_Callback(hObject, eventdata, handles)
% hObject handle to buttonTrainSamples (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
%%
if get(handles.selectPCA,'value')
gMetholdSelect=1;
end
gTrainNum = str2double(get(handles.inputTrainNum,'string'));
if gTrainNum<=0 || gTrainNum>10
disp('error!');
end
%% load data base to train
if gMetholdSelect == 1%for PCA
handles.trainPcaData = trainSingleImgPCA(gTrainNum);
end
msgbox('Train Completed');
% Update handles structure
guidata(hObject, handles);
% --- Execute the simulation of recognize rate of PCA
function processPCARecognizeRate(handles)
regRate = zeros(1,9);
for i=1:9
[trainData testData] = getPCATrainTest(i);
rate = recognizeRateImgPCA(trainData, testData, i);
regRate(i) = rate;
end
axes(handles.axes1);
plot(1:9, regRate, '-.or','MarkerFaceColor','g')
grid on;
ylim([50 100]);
xlabel('每个识别个体的训练样本数量');
ylabel('识别概率(%)');
title('PCA的识别概率');
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles) %%关闭图像
% hObject handle to pushbutton6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
axes(handles.axes1);
cla reset;
axes(handles.axes2);
cla reset;
guidata(hObject, handles);
% --- Executes on button press in pushbutton7.
function pushbutton7_Callback(hObject, eventdata, handles) %%退出系统
% hObject handle to pushbutton7 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
close;
3、实验效果图
THE END!
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