【发布时间】：2014-02-10 23:55:32
【问题描述】：
您好，我正在尝试将图片转换为 3D 等效，我使用的方法是 Dubois anaglyph Algorithm。我的理解是，我们取左右图像的每个像素值，对这些值进行矩阵乘法，产生一个新的左右图像，然后组合成一个新的图像。有什么我想念的吗？还是我的理解完全不正确？以下是我目前完成的代码的一些输出： Image
这是我做过的一些代码：
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 );
【问题讨论】：
标签： algorithm opencv 2d-3d-conversion