I wish to crop the detected face from the image. Please help for the same.

% Create a detector object faceDetector = vision.CascadeObjectDetector;

% Read input image I = imread('visionteam.jpg'); This is the code given in Matlab hellp, can you suggest me how to crop the detected face and store it % Detect faces bbox = step(faceDetector, I);

% Create a shape inserter object to draw bounding boxes around detections shapeInserter = vision.ShapeInserter('BorderColor','Custom','CustomBorderColor',[255 255 0]);

% Draw boxes around detected faces and display results I_faces = step(shapeInserter, I, int32(bbox)); figure, imshow(I_faces), title('Detected faces');

Answer 1

[Image Analyst]

How about using imcrop()?

And please read this: http://www.mathworks.com/matlabcentral/answers/13205-tutorial-how-to-format-your-question-with-markup

[harshita]

thank you. Sir, i wanted to ask you one more thing , is it possible to change the dimensions of the box used for detection?

[Image Analyst]

I don't have the computer vision toolbox so I don't know how the face detector works. Does it not say in the documentation anything about box size? If not, call them and ask them.

Answer 2

[Adnan Rasool]

Asslam o Alikum

Here is the code for 1- select image from a Location 2- detect faces in the selected image 3- Find the Location of Detected Faces 4- crop all detected faces on one Figure

%Code start

clc; [filename, filepath] = uigetfile ({'*.jpg';'*.bmp';'*.png'}, 'File Selector'); img = strcat(filepath, filename); img = imread(img); figure(1),imshow(img); FaceDetect = vision.CascadeObjectDetector; FaceDetect.MergeThreshold = 7 ; BB = step(FaceDetect,img); figure(2),imshow(img); for i = 1:size(BB,1) rectangle('Position',BB(i,:),'LineWidth',3,'LineStyle','- ','EdgeColor','r'); end for i = 1:size(BB,1) J= imcrop(img,BB(i,:)); figure(3),subplot(6,6,i);imshow(J); end

%Code End

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