void EyeDetection (Mat Orig_frame)
{
Mat L_crop,R_crop,Gray_frame,Res_frame; vector<Rect>eyes;
vector<Rect>eyes1;
cvtColor(Orig_frame, Gray_frame, CV_BGR2GRAY);
//Converts RGB to GrayScale
equalizeHist(Gray_frame, Gray_frame);
//Using histogram Equalization tech for improving contrast
eye_cascade.detectMultiScale(Gray_frame, eyes, 1.15, 4, 0 | CASCADE_SCALE_IMAGE,Size(10, 10)); //Detect Eyes
eye_cascade.detectMultiScale(Gray_frame, eyes1, 1.15, 4, 0 | CASCADE_SCALE_IMAGE,Size(10, 10)); //Detect Eyes
Rect L_roi,R_roi; //region of interest
int x1, y1; //(x1,y1) is indx of left detected eye
int w1, h1; //width and height of detected eye
int x2, y2; //(x2,y2) is indx of right detected eye
int w2, h2;
int e_x1, e_y1; //(e_x1,e_y1) is indx of left eye after pruning
int e_w1, e_h1; //width and height of eye after pruning
int e_x2, e_y2; //(e_x2,e_y2) is indx of right eye after pruning
int e_w2, e_h2;
if ( !eyes.empty() ) {
if ( eyes[0].width > 0 && eyes[0].height > 0) { //First Detected eyes
x1 = eyes[0].x; //Dimesnions of Left Detected eye in frame
y1 = eyes[0].y;
w1 = eyes[0].width;
h1 = eyes[0].height;
L_roi.x = e_x1 = x1 + .11*w1; //pruning Left eye to eliminate unwanted pixels (resizing)
L_roi.y = e_y1 = y1 + .15*h1;
L_roi.width = e_w1 = .8*w1;
L_roi.height = e_h1 = .65*h1;
Point L_pt1(e_x1,e_y1);
Point L_pt2(e_x1 + e_w1, e_y1 + e_h1);
L_crop = Gray_frame(L_roi);
Mat left;
rectangle(Orig_frame, L_pt1, L_pt2, Scalar(0, 255, 0), 2, 8, 0);
imshow("Left Eye",L_crop);
}
if ( eyes1[0].width > 0 && eyes1[0].height > 0) { //Second Detected eyes
x2 = eyes1[1].x; //Dimension of Right Detected eye in frame
y2 = eyes1[1].y;
w2 = eyes1[1].width;
h2 = eyes1[1].height;
R_roi.x = e_x2 = x2 + .11*w2; //pruning Right eye to eliminate unwanted pixels (resizing)
R_roi.y = e_y2 = y2 + .15*h2;
R_roi.width = e_w2 = .8*w2;
R_roi.height = e_h2 = .65*h2;
Point R_pt1(e_x2, e_y2);
Point R_pt2(e_x2 + e_w2, e_y2 + e_h2);
R_crop = Gray_frame(R_roi);
rectangle(Orig_frame, R_pt1, R_pt2, Scalar(0, 255, 0), 2, 8, 0);
imshow("Right Eye",R_crop);
}
}
}
我试图用Opencv为我的论文项目兄弟进行眼动追踪，但每次我都面对矢量超出范围的问题。因此我尝试在代码内部解决它，我创建第二个矢量，如eye1但它不起作用。并且当我们想到，如果我用手闭上我的一只眼睛，这会导致阻挡框架还是与问题有任何联系？请大家，我相信你最后一次改变我会告诉我的老师:-)我希望我们能找到问题。谢谢。
