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2016-11-30 17:08:20 -0600 | commented question | [Python] Real time image stabilization with Optical Flow I've replaced the homography with the mean of the difference between the good points in both X and Y, and then applied a running mean filter to the last N frames. The stabilization works with slow motions - if I pan the camera to the left, the image is translation to the right. But with high frequent vibrations, it has almost no effect. I've varied N from 2 to 20, but do not quite understand why it won't take the high frequencies. I thout that the running mean would be a LowPass FIR-filter, and therefore stabilize the vibrations. Do you have any suggestions to how I could make this better? |
2016-11-30 05:25:36 -0600 | commented question | [Python] Real time image stabilization with Optical Flow @Tetragramm: Thank you for your answer! What elements is it that I should apply the smoothing to? Is it the good_new and good_old, or have I misunderstood the whole Optical Flow-thing? @StevenPuttemans: As far as I have figured, this is only for C++, isn't it? If it also is for Python, it would be perfect! |
2016-11-29 18:09:55 -0600 | asked a question | [Python] Real time image stabilization with Optical Flow Hi! I'm new here on this forum, and would love some help with a project I'm working on! I'm trying to make a small image stabilization programme in Python, but I can't get it to work the way I want. First, my test programme: ...and this is my actual stabilization programme: This is what I thought making this:
Is there any one who could help me with this one? Thanks! |