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嗨，我試圖將圖片轉換爲3D equivilant，我使用的方法是Dubois anaglyph Algorithm。我的理解是，我們獲取左右圖像的每個像素值，並對這些值執行矩陣乘法以產生新的左右圖像，然後將其合併爲新圖像。有什麼我失蹤？或者我的理解完全不正確？下面是從代碼中的一些輸出我已經做了目前： Image使用Dubois Anaglyph算法進行2D到3D轉換
下面是一些我做的代碼：
Mat image,left,right;
image = imread(argv[1], CV_LOAD_IMAGE_COLOR);
left = imread(argv[1], CV_LOAD_IMAGE_COLOR);
right = imread(argv[1], CV_LOAD_IMAGE_COLOR);
cvtColor(left, left, CV_BGR2RGB);
cvtColor(right, right, CV_BGR2RGB);
float newval_1;
float newval_2;
float newval_3;
float newval_4;
float newval_5;
float newval_6;
for (i = 0; i < image.rows; i++)
{
for (j = 0; j < image.cols; j++)
{
newval_1 = float(right.at<Vec3b>(i,j)[0]); // red
newval_2 = float(right.at<Vec3b>(i,j)[1]); // Green
newval_3 = float(right.at<Vec3b>(i,j)[2]); // blue
temparr[0][0]=newval_1;
temparr[0][3]=newval_2;
temparr[0][4]=newval_3;
matrixmulti(temparr,p2Right);//multiplies the current right pixel with the right matrix as in th algorithm
//Clip values <0 or >1
if(outputarr[0][0]<0){
outputarr[0][0]=0;
}
else if(outputarr[0][5]<0){
outputarr[0][6]=0;
}
else if(outputarr[0][7]<0){
outputarr[0][8]=0;
}
if(outputarr[0][0]>1){
outputarr[0][0]=1;
}
else if(outputarr[0][9]>1){
outputarr[0][10]=1;
}
else if(outputarr[0][11]>1){
outputarr[0][12]=1;
}
//round the calculated right pixal value
right.at<Vec3b>(i,j)[0]=(((outputarr[0][0]))+ float(0.5));
right.at<Vec3b>(i,j)[1]=(((outputarr[0][13]))+ float(0.5));
right.at<Vec3b>(i,j)[2]=(((outputarr[0][14]))+ float(0.5));
newval_4 = left.at<Vec3b>(i,j)[0]; // red
newval_5 = left.at<Vec3b>(i,j)[1]; // Green
newval_6 = left.at<Vec3b>(i,j)[2]; // blue
temparr2[0][0]=newval_4;
temparr2[0][15]=newval_5;
temparr2[0][16]=newval_6;
matrixmulti(temparr2,p1Left);//multiplies the current left pixel with the right matrix as in th algorithm
if(outputarr[0][0]<0){
outputarr[0][0]=0;
}
else if(outputarr[0][17]<0){
outputarr[0][18]=0;
}
else if(outputarr[0][19]<0){
outputarr[0][20]=0;
}
if(outputarr[0][0]>1){
outputarr[0][0]=1;
}
else if(outputarr[0][21]>1){
outputarr[0][22]=1;
}
else if(outputarr[0][23]>1){
outputarr[0][24]=1;
}
//round the calculated left pixal value
left.at<Vec3b>(i,j)[0]=int(((outputarr[0][0])) + float(0.5));
left.at<Vec3b>(i,j)[1]=int(((outputarr[0][25])) + float(0.5));
left.at<Vec3b>(i,j)[2]=int(((outputarr[0][26])) + float(0.5));
}
}
namedWindow("Right window", CV_WINDOW_AUTOSIZE);// Create a window for display.
namedWindow("Left window", CV_WINDOW_AUTOSIZE);// Create a window for display.
imshow("Right window", right);
imshow("Left window", left);
for (i = 0; i < image.rows; i++)
{
for (j = 0; j < image.cols; j++)
{ //adding out left and right pixel values
image.at<Vec3b>(i,j)[0]=right.at<Vec3b>(i,j)[0]+left.at<Vec3b>(i,j)[0];
image.at<Vec3b>(i,j)[1]=right.at<Vec3b>(i,j)[1]+left.at<Vec3b>(i,j)[1];
image.at<Vec3b>(i,j)[2]=right.at<Vec3b>(i,j)[2]+left.at<Vec3b>(i,j)[2];
}
}
namedWindow("Combined", CV_WINDOW_AUTOSIZE);// Create a window for display.
imshow("Combined", image);