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我有一个实时皮肤检测算法，它给了我一个矩形（'Position'，bb，'EdgeColor'，'r'，'LineWidth '，2）从原始图像。在使用Viola Jones从裁剪的皮肤区域检测脸部区域之前，我希望使用代码首先检测原始图像中的皮肤区域。我希望知道在裁剪出皮肤区域后，使用人脸检测算法检测人脸，如何将人脸边界框映射到原始图像。将边界框映射到Matlab中的原始图像
function cameraon_Callback(hObject, eventdata, handles)
% hObject handle to cameraon (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global video;
global videoFrame;
axes(handles.axes1);
video = videoinput('winvideo',1,'YUY2_320x240');
set(video,'ReturnedColorSpace','rgb');
handles.video=video;
triggerconfig(video,'manual');
video.FramesPerTrigger = 1;
guidata(hObject,handles);
faceDetector=vision.CascadeObjectDetector('FrontalFaceCART');
faceDetector.MinSize=[20 20];
faceDetector.MergeThreshold = 20;
videoFrame=getsnapshot(video);
bbox=step(faceDetector,videoFrame);
if numel(bbox) == 0
errordlg('Face not detected. Please try again.');
set(handles.cameraon,'String','Start Camera')
stop(video);
delete(video);
clear;
else
axes(handles.axes1);
start(video);
end
while(true)
frame=getsnapshot(video);
%Detect faces.
data = frame;% this is to read a image from data base. just put any image name u want to give make sure its placed in bin
diff_im = imsubtract(data(:,:,1), rgb2gray(data)); % deleting gray scale pixels from image
diff_im = medfilt2(diff_im, [3 3]); %applying filter one
diff_im = imadjust(diff_im); % adjust image function to fill small holes (check all the function's functionality to have idea of whats going on)
level = graythresh(diff_im);% extract level value
bw = im2bw(diff_im,level);
BW5 = imfill(bw,'holes');
bw6 = bwlabel(BW5, 8);
stats = regionprops(bw6,['basic']);%basic mohem nist
measurements = regionprops(bw6, 'boundingbox');
BB1=struct2cell(measurements);
BB2=cell2mat(BB1);
a = BB2(1);
b = BB2(2);
c = BB2(3);
d = BB2(4);
[N,M]=size(stats);
if (bw==0)% check if there is no skin color then exit
break;
else
tmp = stats(1);
for i = 2 : N % checking for biggest hole to mark it as face
if stats(i).Area > tmp.Area
tmp = stats(i);
end
end
bb = tmp.BoundingBox; % applying identification square to mark skin color region
bc = tmp.Centroid;
videoFrame=getsnapshot(video);
这是我无法将边界框放回原始图像的地方。
skinImage = imcrop(videoFrame,bb(1,:));
bbox = step(faceDetector,skinImage);
bbox(1,1:2) = bbox(1,1:2) + bb(1,1:2);
videoOut = insertObjectAnnotation(videoFrame,'rectangle',bbox,'Face');
cla;
imshow(videoOut,[]);
drawnow;
pause(0.0001);
end
end
guidata(hObject,handles);
我想把我从人脸检测器获得的矩形放到原始位置的图像中裁剪图像的原始位置。