Actually if you want to crop faces you will first have to execute a face detector and then store each and every found detection in a vector of Mat elements. Below is a code sample that will do what you look for:
Mat img_scene = imread(argv[2], IMREAD_GRAYSCALE);
CascadeClassifier detector("/data/LBP_frontalface.xml");
Mat temp;
vector<Rect> detections;
equalizeHist(img_scene, temp);
detector.detectMultiScale(temp, detections, 1.1, 3);
vector<Mat> all_faces;
for(size_t i=0; i < detections.size(); i++){
Mat croppedFace = img_scene(detections[i]).clone();
all_faces.push_back(croppedFace);
}
Mat img_scene = imread(argv[2], IMREAD_GRAYSCALE);
namedWindow("image", CV_WINDOW_FREERATIO);
imshow("image", img_scene);
waitKey(0);
Rect croppedRectangle = Rect(181, 225, 400, 50);
Mat CroppedImage = img_scene(croppedRectangle);
namedWindow("Cropped", CV_WINDOW_FREERATIO);
imshow("Cropped", CroppedImage);
waitKey(0);
This will only work if you already know the locations of the faces beforehand. Else you will need to look for them first.
Asked: 2017-10-10 04:22:37 -0600
Seen: 269 times
Last updated: Oct 11 '17
