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Interesting work but seems to come with scary applications. One thing I was wondering from the video. The narrator mentioned that some of the movement is hundr
by bmitc 4y ago
Interesting work but seems to come with scary applications.
One thing I was wondering from the video. The narrator mentioned that some of the movement is hundreds of times smaller than a pixel. If that's the case, how are they detecting the movement then in those cases? If something moves but stays within a pixel, how are you knowing how it moves since the pixel is the smallest bit of information you have? Or is it because although the physical movement in space is smaller than a pixel, the resulting "color" information for the given pixel changes in proportion to the movement in large enough ways that can be measured?
- mgdlbp 4y agoThere is indeed research in doing that -- "motion magnification" visualizing vibrations in machinery: https://www.youtube.com/watch?v=rEoc0YoALt0&t=121s https://www.youtube.com/watch?v=rEoc0YoALt0&t=121s overview of research, and discussions on HN: https://hn.algolia.com/?query=Eulerian%20Video%20Magnification&sort=byPopularity https://hn.algolia.com/?query=Eulerian%20Video%20Magnificati... TED talk: https://www.youtube.com/watch?v=fHfhorJnAEI https://www.youtube.com/watch?v=fHfhorJnAEI edit: TFA: > from the change of a single pixel’s color value over time, it’s possible to infer motions smaller than a pixel. > the researchers borrowed a technique from earlier work on algorithms that amplify minuscule variations in video,
- bmitc 4y agoThanks for the references! And yea, I watched the video, commented, and then read the article. Thanks for pointing to those quotes.