问题
I am new to OpenCV2 and working on a project in emotion recognition and would like to align a facial image in relation to a reference facial image. I would like to get the image translation working before moving to rotation. Current idea is to run a search within a limited range on both x and y coordinates and use the sum of squared differences as error metric to select the optimal x/y parameters to align the image. I'm using the OpenCV face_cascade function to detect the face images, all images are resized to a fixed (128x128). Question: Which parameters of the Mat image do I need to modify to shift the image in a positive/negative direction on both x and y axis? I believe setImageROI is no longer supported by Mat datatypes? I have the ROIs for both faces available however I am unsure how to use them.
void alignImage(vector<Rect> faceROIstore, vector<Mat> faceIMGstore)
{
Mat refimg = faceIMGstore[1]; //reference image
Mat dispimg = faceIMGstore[52]; // "displaced" version of reference image
//Rect refROI = faceROIstore[1]; //Bounding box for face in reference image
//Rect dispROI = faceROIstore[52]; //Bounding box for face in displaced image
Mat aligned;
matchTemplate(dispimg, refimg, aligned, CV_TM_SQDIFF_NORMED);
imshow("Aligned image", aligned);
}
The idea for this approach is based on Image Alignment Tutorial by Richard Szeliski Working on Windows with OpenCV 2.4. Any suggestions are much appreciated.
回答1:
cv::Mat
does support ROI. (But it does not support COI - channel-of-interest.)
To apply ROI you can use operator()
or special constructor:
Mat refimgROI = faceIMGstore[1](faceROIstore[1]); //reference image ROI
Mat dispimgROI(faceIMGstore[52], faceROIstore[52]); // "displaced" version of reference image ROI
And to find the best position inside a displaced image you can utilize matchTemplate function.
Based on your comments I can suggest the following code which will find the best position of reference patch nearby the second (displaced) patch:
Mat ref = faceIMGstore[1](faceROIstore[1]);
Mat disp = faceIMGstore[52](faceROIstore[52]);
disp = disp.adjustROI(5,5,5,5); //allow 5 pixel max adjustment in any direction
if(disp.cols < ref.cols || disp.rows < ref.rows)
return 0;
Mat map;
cv::matchTemplate( disp, ref, map, CV_TM_SQDIFF_NORMED );
Point minLoc;
cv::minMaxLoc( map, 0, &minLoc );
Mat adjusted = disp(Rect(minLoc.x, minLoc.y, ref.cols, ref.rows));
来源:https://stackoverflow.com/questions/13888368/opencv-shift-align-face-image-relative-to-reference-image-image-registration