Thanks to Alexandre Karpenko and pals at Stanford University , they have published  open source  software under GNU General Public License that stabilizes video image and eliminates shutter roll (jello) . In their example they are using the iphones built in accelerometers to calculate correction in real time.  Check out the video !

https://www.youtube.com/watch?v=I54X4NRuB-Q ;

further information can be found here :





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  • Hi I have studied the paper's implementation and seen the source code on github.
    But I am really new to Matlab. Does anyone have a dataset that can be checked with the codes provided.?? I have no idea how to provide a test set
    Kindly help
  • Has this already been done on the iPhone 5? At least in part?
  • It still can't compensate for a fast moving subject or a very fast rolling shutter.  It only works on the very cheapest cameras & phones.  There must have been some serious fudge factors involved in aligning the gyro readouts with the exposure & compression delay on the phone.

  • Developer

    Yes, i'm pretty sure it needs to be in the camera itself.  The timing has surely got to be pretty precise as well when you're talking about shutter roll that must be happening within 10ms from start to finish I would have thought.

  • COOL! The question is, How to record the vibrations of a go-pro-like camera module? The Navigational IMU would not suffice, especially due to vibration damping. 

  • Developer

    That is really interesting.  I had never really understood the jello effect before.

    I wonder if this would also help get rid of the jello effect that comes from the vehicle vibration for if the frequency of that is too high.  Maybe it's just the frequency of the low-pass filter they talk about in the video that would need to be adjusted.

  • Excellent result,

    Isn't this the same method used internally in the new Parrot BeBop Quadcopters camera and also in the recently released JVC-GCA-XA2 and possibly Sony AS100V stabilized Sport Cams.

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