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The code showed in the tutorial about 2D features and homography, the SURF_Homography.cpp can be adapted to detect multiple occurrences of the same object on a image?

I'm trying to figure a good way to do this:

1 - I have the list of matched features

2 - When I find the first object, calculate the homography

3 - Delete the matched features inside the homography.

The problem is that I don't have much idea how to do the step 3, how to know if keypoints are inside of a homography region? Anyone have idea how to do it, or have a better algorithm?

The code showed in the tutorial about 2D features and homography, the SURF_Homography.cpp can be adapted to detect multiple occurrences of the same object on a image?

I'm trying to figure a good way to do this:

1 - I have the list of matched features

2 - When I find the first object, calculate the homography

3 - Delete the matched features inside the homography.

4 - Iterate until I don't have any matched features.

The problem is that I don't have much idea how to do the step 3, how to know if keypoints are inside of a homography region? Anyone have idea how to do it, or have a better algorithm?