I'm working with a given dataset using OpenCV, without any Kinect by my side. And I would like to map the given depth data to its RGB counterpart (so that I can get the actual color and the depth)
Since I'm using OpenCV and C++, and don't own a Kinect, sadly I can't utilize MapDepthFrameToColorFrame method from the official Kinect API.
From the given cameras' intrinsics and distortion coefficients, I could map the depth to world coordinates, and back to RGB based on the algorithm provided here
Vec3f depthToW( int x, int y, float depth ){
Vec3f result;
result[0] = (float) (x - depthCX) * depth / depthFX;
result[1] = (float) (y - depthCY) * depth / depthFY;
result[2] = (float) depth;
return result;
}
Vec2i wToRGB( const Vec3f & point ) {
Mat p3d( point );
p3d = extRotation * p3d + extTranslation;
float x = p3d.at<float>(0, 0);
float y = p3d.at<float>(1, 0);
float z = p3d.at<float>(2, 0);
Vec2i result;
result[0] = (int) round( (x * rgbFX / z) + rgbCX );
result[1] = (int) round( (y * rgbFY / z) + rgbCY );
return result;
}
void map( Mat& rgb, Mat& depth ) {
/* intrinsics are focal points and centers of camera */
undistort( rgb, rgb, rgbIntrinsic, rgbDistortion );
undistort( depth, depth, depthIntrinsic, depthDistortion );
Mat color = Mat( depth.size(), CV_8UC3, Scalar(0) );
ushort * raw_image_ptr;
for( int y = 0; y < depth.rows; y++ ) {
raw_image_ptr = depth.ptr<ushort>( y );
for( int x = 0; x < depth.cols; x++ ) {
if( raw_image_ptr[x] >= 2047 || raw_image_ptr[x] <= 0 )
continue;
float depth_value = depthMeters[ raw_image_ptr[x] ];
Vec3f depth_coord = depthToW( y, x, depth_value );
Vec2i rgb_coord = wToRGB( depth_coord );
color.at<Vec3b>(y, x) = rgb.at<Vec3b>(rgb_coord[0], rgb_coord[1]);
}
}
But the result seems to be misaligned. I can't manually set the translations, since the dataset is obtained from 3 different Kinects, and each of them are misaligned in different direction. You could see one of it below (Left: undistorted RGB, Middle: undistorted Depth, Right: mapped RGB to Depth)
My question is, what should I do at this point? Did I miss a step while trying to project either depth to world or world back to RGB? Can anyone who has experienced with stereo camera point out my missteps?
I assume you would need to calibrate the depth sensor with the RGB data in the same way you would calibrate a stereo cameras. OpenCV has some functions (and tutorials) that you may be able to leverage.
A few other things that may be useful
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