3
votes
Accepted
Would it be possible to reconstruct 3d trajectory of ball projectile using only monocular video
I guess this is what Olli implies: Using a lens distortion matrix if necessary, the center of the ball in the picture gives you an elevation and azimuth of your ball relative to the focal point of ...
- 29.1k
2
votes
Accepted
Derivation of range migration algorithm
So if you continue the substitution you get:
$R_t = \sqrt{((-R_BK_X/\sqrt{(K_R^2 - K_X^2)} + X_t - X_t)^2 + R_B^2)} $
$R_t = \sqrt{((-R_BK_X/\sqrt{(K_R^2 - K_X^2)} )^2 + R_B^2)} $
$R_t = \sqrt{(R_B^...
- 294
1
vote
Accepted
Understanding difference in rotation and translation
Homography has an interpretation as a change of perspective or movement of the "camera". I think your example casually refers to the apparent "rotation" of the camera in the ...
- 171
1
vote
Accepted
Computer Vision - Does implementation of Hough Transform for lines require a loop for angle parameter?
In real world implementations, is the line: for theta = [theta_min to theta_max ] required?
. . .
Since we apply Canny edge detector to an image, prior to Hough Transform, we can obtain angle of ...
- 10.5k
1
vote
Are there analogues to orthogonal transformations in non-orientable surfaces?
Bear with me, as this is really only tangential¹ to my area of expertise, but:
Maybe the question is not how to extend wavelets to work on non-orientable surfaces, but to interpret said surface as ...
- 29.1k
1
vote
How to triangulate 2 sources on a 2d plane formed by 4 sensors?
Conceptual partial answer:
You can use 3 mics to find position in 3D space, except you can't tell if it's above the plane or below the plane (unless you already know there's nothing above the plane, ...
- 15.6k
1
vote
Accepted
Subsampling property of wavelet transform
I am not completely confident with the full theory of wavelet frames, however I will share some pointers and my beliefs, do not take any of the following for a truth. The property you show is (partly)...
- 31.6k
1
vote
Accepted
Algorithm to effectively find perspective transform in motion estimation
Assumptions
From your question, I assume you already have an algorithm that does produce the transformation you want, but you have to play with the parameters manually.
Proposed solution
First, ...
- 1,736
1
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Algorithm to effectively find perspective transform in motion estimation
The suggested technique seems to be to gather points of interest, calculate a feature vector for them, and then find matching pairs of points in both images, followed by a calculation of the transform....
- 113
1
vote
Accepted
Why is this projection wrong?
My translation should have described a rotation around the center of the cube, but it was wrong. I changed it to:
rotate45 * (translation - center) + center
and ...
- 237
1
vote
3D point cloud to 2.5D graycale image (metric) [Halcon?]
Your 3 channels already give you the 3D coordinates, and from that 3 images, you already know which pixels locations the 3D data are projected. So you don't need to do anything. If you like to get a ...
- 5,445
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