Hi, I have a set of aerial images and I run them through Bundler (SfM) which gives me the rotation and translation matrices of aall cameras relative to a random coordinate system.
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 | 1 | initial version |
Hi, I have a set of aerial images and I run them through Bundler (SfM) which gives me the rotation and translation matrices of aall cameras relative to a random coordinate system.
| | 2 | No.2 Revision |
Hi, I have a set of aerial images and I run them through Bundler (SfM) which gives me the rotation and translation matrices of aall all cameras relative to a random coordinate system.
I want to take two of those images, img0 and img1. The first one I assume is aligned with a reference frame and therefore H0 = eye(3). I want to compute H1, the Homography from img1 to img0 so that I can stitch them into a photo-mosaic,
warpPerspective(img1, img1_warped, H1)
I think this H1 should be given by
H1 = K1*R1*(Mat::eye(3, 3, CV_32F) + ((t1 - t0)*n.t() / t0.at<float>(2)))*R0.t()*K0.inv()
However this is not working very well. What am I missing?
| | 3 | No.3 Revision |
Hi, I have a set of aerial images and I run them through Bundler (SfM) which gives me the rotation and translation matrices of all cameras relative to a random coordinate system.
I want to take two of those images, img0 and img1. The first one I assume is aligned with a reference frame and therefore H0 = eye(3). I want to compute H1, the Homography from img1 to img0 so that I can stitch them into a photo-mosaic,
warpPerspective(img1, img1_warped, H1)
I think this H1 should be given by
H1 = K1*R1*(Mat::eye(3, 3, CV_32F) + ((t1 - t0)*n.t() / t0.at<float>(2)))*R0.t()*K0.inv()
However this This is not working very well. working. The formula might be wrong or I am not correctly interpreting the data output from bundler. What am I missing?