一、简介
基于matlab GUI KL变换人脸识别
二、源代码
function varargout = renlian(varargin)
% RENLIAN MATLAB code for renlian.fig
% RENLIAN, by itself, creates a new RENLIAN or raises the existing
% singleton*.
%
% H = RENLIAN returns the handle to a new RENLIAN or the handle to
% the existing singleton*.
%
% RENLIAN('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in RENLIAN.M with the given input arguments.
%
% RENLIAN('Property','Value',...) creates a new RENLIAN or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before renlian_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to renlian_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 renlian
% L
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @renlian_OpeningFcn, ...
'gui_OutputFcn', @renlian_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 renlian is made visible.
function renlian_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 renlian (see VARARGIN)
% Choose default command line output for renlian
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes renlian wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = renlian_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 selection change in listbox1.
function listbox1_Callback(hObject, eventdata, handles)
str=get(handles.listbox1,'string');
v=get(handles.listbox1,'value');
a=[str{v} '.bmp'];
axes(handles.axes1)
imshow(a);
% hObject handle to listbox1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: contents = cellstr(get(hObject,'String')) returns listbox1 contents as cell array
% contents{get(hObject,'Value')} returns selected item from listbox1
% --- Executes during object creation, after setting all properties.
function listbox1_CreateFcn(hObject, eventdata, handles)
% hObject handle to listbox1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: listbox 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 pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
N=75;
q=5;
x=zeros(10000,15);
for i=1:N
a=[num2str(i) '.bmp'];
h=imread(a);
[m n]=size(h);
x(:,i)=reshape(h,m*n,1);
end
pingjun=mean(x,2);
d=repmat(pingjun,1,N);
A=x-d;
y=A'*A;
[v u]=eig(y);
tezhengzhi=sum(u);
[tezhengzhi,xulie]=sort(tezhengzhi,2,'descend');
for i=1:q
tezhenglian(:,i)=A*v(:,xulie(i))*(tezhengzhi(i)^(-0.5));%特征脸
end
for i=1:N
P(:,i)=tezhenglian'*A(:,i);
end
str=get(handles.listbox1,'string');
v=get(handles.listbox1,'value');
a=[str{v} '.bmp'];
z=zeros(10000,1);
h=imread(a);
[m n]=size(h);
z(:,1)=reshape(h,m*n,1);
shibie=tezhenglian'*(z-pingjun);%投影
chonggou=tezhenglian*shibie+pingjun;%重构
fangcha=((z-chonggou)'*(z-chonggou))^0.5;
yuzhi=0;
for i=1:N
for j=i:N
zanshiyuzhi=((P(:,i)-P(:,j))'*(P(:,i)-P(:,j)))^0.5;
if zanshiyuzhi>yuzhi
yuzhi=zanshiyuzhi;
end
end
end
yuzhi=yuzhi/2;
juli=9e+009;
for i=1:N
bijiao=((shibie-P(:,i))'*(shibie-P(:,i)))^0.5;
if bijiao<juli;
juli=bijiao;
k=i;
end
end
if fangcha>=yuzhi flag=1;
elseif fangcha<yuzhi&&juli>=yuzhi flag==2;
elseif fangcha<yuzhi&&juli<yuzhi flag=3;
end
if flag==1
a=[ '0.png'];
axes(handles.axes3)
imshow(a);
set(handles.edit1,'string','未被识别，请重新采集');
elseif flag==2
a=[ '0.png'];
axes(handles.axes3)
imshow(a);
set(handles.edit1,'string','输入图像包含未知人脸');
elseif flag==3
if k>15
ren=rem(k-1,15)+1;
else ren=k;
end
a=[num2str(k) '.bmp'];
axes(handles.axes3)
imshow(a);
set(handles.edit1,'string',ren)
end
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
三、运行结果
四、备注
版本：2014a
