Apply homography

1. How do you apply a homography matrix to a point?
2. What is homography in Python?
3. What is homography used for?
4. How do I find a homography?

How do you apply a homography matrix to a point?

This spatial relationship is represented by a transformation known as a homography, H, where H is a 3 x 3 matrix. To apply homography H to a point p, simply compute p' = Hp, where p and p' are (3-dimensional) homogeneous coordinates. p' is then the transformed point.

What is homography in Python?

What is Homography? Homography is a transformation that maps the points in one point to the corresponding point in another image. The homography is a 3×3 matrix : If 2 points are not in the same plane then we have to use 2 homographs. Similarly, for n planes, we have to use n homographs.

What is homography used for?

Homography is generally used to map a plane to another plane while fundamental matrix is used to calculate depths of scene structure with objects of varying depths.

How do I find a homography?

The homography can be estimated using for instance the Direct Linear Transform (DLT) algorithm (see 1 for more information). As the object is planar, the transformation between points expressed in the object frame and projected points into the image plane expressed in the normalized camera frame is a homography.