Face Detection Isolating faces

2013 10 25
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更新时间：2013 11 27
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Hi guys, I have recently tried the viola jones cascedeobjectdetector to detect faces and it works great. The only thing that I am having trouble is to crop out the faces, isolate and save them individually. have used the icrop function but still stuck thinking of a method to isolate them.. Anyone have any idea?

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Jonathan
Jonathan 2013-10-25
At the moment I can only do one lame thing which is this. I=imread('1.jpg'); %I = rgb2gray(I); faceDetector = vision.CascadeObjectDetector(); bbox_face = step(faceDetector, I);
I_faces = insertObjectAnnotation(I, 'rectangle', bbox_face, 'Face'); figure, imshow(I_faces), title('Detected faces');
for i=1: length(bbox_face) Icrop= imcrop(I,bbox_face(i,:));
Y= Icrop; if i==1 imwrite(Y,'cropped.jpg'); elseif i==2 imwrite(Y,'cropped2.jpg' ); elseif i==3 imwrite(Y,'cropped3.jpg'); else imwrite(Y,'cropped4.jpg' );
end end
Do advice if theres a better way :D

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you can try this code to crop the face
faceBBox = step(faceDetector,videoFrame);
x = faceBBox(1); y = faceBBox(2); w = faceBBox(3); h = faceBBox(4);
bboxPolygon = [x, y, x+w, y, x+w, y+1.56*h, x, y+1.56*h];
face = imcrop(videoFrame,faceBBox);

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