【人脸识别】基于KL变换人脸识别matlab源码含GUI
一、简介二、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 =...
一、简介


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 renlianOpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to renlianOpeningFcn 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 guiSingleton = 1; guiState = struct('guiName', mfilename, ... 'guiSingleton', guiSingleton, ... 'guiOpeningFcn', @renlianOpeningFcn, ... 'guiOutputFcn', @renlianOutputFcn, ... 'guiLayoutFcn', [] , ... 'guiCallback', []); if nargin && ischar(varargin{1}) guiState.gui_Callback = str2func(varargin{1}); end
if nargout [varargout{1:nargout}] = guimainfcn(guiState, varargin{:}); else guimainfcn(guiState, 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)=Av(:,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,mn,1); shibie=tezhenglian'*(z-pingjun);%投影
chonggou=tezhenglianshibie+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
if fangcha>=yuzhi flag=1; elseif fangcha=yuzhi flag==2; elseif fangcha 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
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