'Face detection and recognition' I want to display test image and recognised image and if match not found i want display match not found message

Question

Santhosh Nayak 2017-7-22

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/349811-face-detection-and-recognition-i-want-to-display-test-image-and-recognised-image-and-if-match-not

评论： Image Analyst 2017-7-29

DBPath='D:\Matlab_prblms\face_database';
D=dir(DBPath)
[mFiles t]=size(D)
mSamples= mFiles-2;
A=zeros(size(image,1),mSamples);
size(A)
for i= 3 : mFiles
    D(i).name
    image=imread(strcat(DBPath,'\',D(i).name));
    [x, y, z]= size(image)
    if(z==3)
          image=rgb2gray(image);
    end
    image=imresize(image,[64,64]);
    image = image(:);
    A(:,i-2)=double(image);
end
%At=A.';s
M=mean(A');
phi=(A-M');
C=phi'*phi;
k=10;
[V D]= eigs(C,k);
size(phi)
size(V)
U=phi*V;
size(U)
for i=1 :k
length=norm(U(:,i));
U(:,i)=U(:,i)./length;
end
wi=zeros(k,mSamples);
for i=1 : mSamples
    wi(:,i)= U'*A(:,i);
end
testImage = cap_img();
[
% testImage=imread('D:\Matlab_prblms\face_database\17.tif');
testImage = rgb2gray(testImage);
testImage=imresize(testImage,[64 ,64]);
testImage=testImage(:);
t=U'*double(testImage);
mindist=999999;
index=-1;
for i=1 : mSamples
      distVal = (wi(:,i) - t).*(wi(:,i) - t);
      if(mindist > distVal)
          mindist = distVal;
          index=i;
      end
  end
  for i = 1 : mSamples
      q = t(:,i);
      temp = ( norm( t - q ) )^2;
      mindist= [mindist temp];
  end
  index

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Santhosh Nayak 2017-7-26

编辑：Walter Roberson 2017-7-26

在 MATLAB Online 中打开

Im recognizing face from image i captured with web cam and comparing with images stored in the folder and im displaying the matching image also but the problem is in between if matching image not found i want to display match not found how i can do that can u help here i copied my code have a look

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

clear all;
close all;
DBPath='D:\Matlab_prblms\face_database';
D=dir(DBPath)
[mFiles t]=size(D)
mSamples= mFiles-2;
A=zeros(4096,mSamples);
size(A)
name_cell={D.name};
for i= 3 : mFiles
    D(i).name
    image=imread(strcat(DBPath,'\',D(i).name));
       [x, y, z]= size(image)
    if(z==3)
          image=rgb2gray(image);
    end
    image=imresize(image,[64,64]);
    image = image(:);
    A(:,i-2)=double(image);
end
%At=A.';s
M=mean(A');
phi=(A-M');
C=phi'*phi;
k=10;
[V D]= eigs(C,k);
size(phi)
size(V)
U=phi*V;
size(U)
for i=1 :k
length=norm(U(:,i));
U(:,i)=U(:,i)./length;
end
wi=zeros(k,mSamples);
for i=1 : mSamples
    wi(:,i)= U'*A(:,i);
end
testImage = cap_img();   % this is were im passing captured face image for comparing
img=testImage;
% testImage=imread('D:\Matlab_prblms\face_database\17.tif');
testImage = rgb2gray(testImage);
testImage=imresize(testImage,[64 ,64]);
testImage=testImage(:);
t=U'*double(testImage);
% imshow(t)
mindist=999999;
index=-1;
for i=1 : mSamples
      distVal = (wi(:,i) - t).*(wi(:,i) - t);
      if(mindist > distVal)
          mindist = distVal;
          index=i;
      end
  end
  name_cell{index+2}
  matchedimage=imread(strcat(DBPath,'\',name_cell{index+2}));
  % imshow(matchedimage)
  figure
  subplot(2,2,1),imshow(img),title('Input image');
  subplot(2,2,2),imshow(matchedimage),title('Match Image');

Santhosh Nayak 2017-7-28

yes Im using eigenvectors mindist so in that case how can display message if matching image in folder not found

Carl 2017-7-28

Are you asking how to display the message, or how to identify when there is no match? For displaying a message, you can use something simple like the "disp" function. For identifying if there is no match, that would depend on how you interpret that mindist value.

Either way, I would strongly suggest that you follow the link posted by Image Analyst below. As they mentioned, it contains a much more robust approach to your original problem.

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Answer 1

Image Analyst 2017-7-26

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/349811-face-detection-and-recognition-i-want-to-display-test-image-and-recognised-image-and-if-match-not#answer_275651

I doubt any robust face recognition code is going to be only like 100 lines of code. You may want to look at how Brett, of The Mathworks, did it here: http://www.mathworks.com/matlabcentral/fileexchange/49914-streaming-face-detection--training--recognition

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Santhosh Nayak 2017-7-29

编辑：Image Analyst 2017-7-29

In that link they are making use of surf and fast but I'm using PCA eigenvector, and they have created montages. If tried to implement that, I have to re-code everything is there any easy method to find min distance and compare suggest if any.

I tried ismember but that isn't working. Is there any other way that I can use?

Thank you

Image Analyst 2017-7-29

It seems you're committed to getting your method working and don't want to make major changes to your existing code.

To find minimum distances I always use the Pythagorean theorem, sqrt(), to get distances and then use min() to find the min of the distances, OR use pdist2() to find distances of every point to every other point and then use min(). Whether one of those two methods will help you, I don't know. That's about all I can say.

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'Face detection and recognition' I want to display test image and recognised image and if match not found i want display match not found message

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