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我試圖在2D圖像內找到鼻尖標誌。這不是100%正確的工作,但作爲第一種方法,它完全令我滿意。查找相對於整個圖像的點的X和Y座標
vector<Rect> noses;
vector<Rect> faces;
vector<Rect> eyes;
Mat frame_gray;
Mat matched_frame; //frame with matched face
Mat gray;
Rect region_of_interest;
cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
face_cascade.detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
for (int i = 0; i < faces.size(); i++)
{
Point pt1(faces[i].x, faces[i].y); // Display detected faces on main window - live stream from camera
Point pt2((faces[i].x + faces[i].height), (faces[i].y + faces[i].width));
rectangle(frame, pt1, pt2, Scalar(255,0 , 0), 2, 8, 0);
cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
equalizeHist(frame_gray, frame_gray);
//NOSE TIP DETECTION
Rect noseROI1;
noseROI1.x = (faces[i].x);
noseROI1.y = faces[i].y + (faces[i].height/2.5);
noseROI1.width = (faces[i].width);
noseROI1.height = (faces[i].height/2.8);
Point ptNoseX(noseROI1.x, noseROI1.y);
Point ptNoseY(noseROI1.x+noseROI1.width, noseROI1.y+noseROI1.height);
//Rectangle around region of interest concentrated on nose
rectangle(frame, ptNoseX,ptNoseY, Scalar(0,255,255), 2, 2, 0);
Mat image_roi_nose = frame(noseROI1);
nose_cascade.detectMultiScale(image_roi_nose, noses, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(40, 30));
for (int i = 0; i < noses.size(); i++)
{
region_of_interest.x = noses[i].x;
region_of_interest.y = noses[i].y;
region_of_interest.width = (noses[i].width);
region_of_interest.height = (noses[i].height);
matched_frame = frame(region_of_interest);
cvtColor(matched_frame, gray, CV_BGR2GRAY);
Point pt1(noses[i].x, noses[i].y);
Point pt2((noses[i].x + noses[i].height), (noses[i].y + noses[i].width));
rectangle(image_roi_nose, pt1, pt2, Scalar(0, 255, 0), 2, 8, 0);
int x1 = noses[i].x + (noses[i].height/2);
int y1 = noses[i].y + (noses[i].width/2);
circle(image_roi_nose, Point(x1, y1), 2, CV_RGB(255,0,0),2, 8, 0);
}
這個代碼是找到鼻尖,但它返回我x1
和有關Mat image_roi_nose
y1
,我怎麼能計算出該點的座標相對於整體形象? 如果我的問題不清楚,請告訴我,我會盡力用更多的細節來解釋它。
謝謝大家的幫助!