5 ms·

Hm, Instagram a little quicker on the draw than Microsoft? http://research.microsoft.com/en-us/um/redmond/projects/hyperlapse/ http://research.microsoft.com/en-

• rtkwe 12y ago
  This seems like a simpler version of what Microsoft demonstrated in the paper. Between the final and original shots in Instigram's demos you can still see much of the original motion. This is especially apparent in the car clip. What it looks like the Instagram app is doing is selecting and stabilizing individual frames instead of the full 3D scene reconstruction that the MSFT paper described. EG there's no pop in and out of details like the MSFT demos and there's still a small but noticeable judder in some of the videos.
  • 1wheel 12y ago
    The initial paper demonstrating using gyroscopes to deblur images also came out of MSR 4 years ago: http://research.microsoft.com/en-us/um/redmond/groups/ivm/imudeblurring/ http://research.microsoft.com/en-us/um/redmond/groups/ivm/im...
• steven2012 12y ago
  Is this a surprise? Microsoft had the Surface like a decade before Apple had the iPhone or iPad, and nothing came of it. Another stupid mistake by not focussing on innovation but instead focusing on how to preserve their Windows monopoly.
• simonw 12y ago
  The approaches are completely different. Microsoft: "Our algorithm first reconstructs the 3D input camera path as well as dense, per-frame proxy geometries. We then optimize a novel camera path for the output video (shown in red) that is smooth and passes near the input cameras while ensuring that the virtual camera looks in directions that can be rendered well from the input." Instagram: "... Smartphones didn’t have nearly enough power to replicate video-editing software, but they did have built-in gyroscopes. On a smartphone, instead of using power-hungry algorithms to model the camera’s movement, he could measure it directly. And he could funnel those measurements through a simpler algorithm that could map one frame to the next, giving the illusion that the camera was being held steady"
  • phirschybar 12y ago
    Wow. I would never have guessed that this would be possible to do by analyzing the gyroscope data. It must be sensitive enough to detect small / tiny jerks in your phone as those seemingly tiny jerks can often translate into enormous motion in your camera lens especially if a subject is far away.
    • deleted 12y ago
      [deleted]
    • StavrosK 12y ago
      Well, you can do stabilization as well for those, I guess.