Key points are not available for this paper at this time.
Our goal is to reveal temporal variations in videos that are difficult or impossible to see with the naked eye and display them in an indicative manner. Our method, which we call Eulerian Video Magnification, takes a standard video sequence as input, and applies spatial decomposition, followed by temporal filtering to the frames. The resulting signal is then amplified to reveal hidden information. Using our method, we are able to visualize the flow of blood as it fills the face and also to amplify and reveal small motions. Our technique can run in real time to show phenomena occurring at the temporal frequencies selected by the user.
Building similarity graph...
Analyzing shared references across papers
Loading...
Haoyu Wu
Michael Rubinstein
Eugene Shih
ACM Transactions on Graphics
Cambridge Quantum Computing (United Kingdom)
Building similarity graph...
Analyzing shared references across papers
Loading...
Wu et al. (Sun,) studied this question.
www.synapsesocial.com/papers/6a0330d3bc3ffe278e655105 — DOI: https://doi.org/10.1145/2185520.2185561