Complex-Valued Eulerian Motion Modulation

Non-Exclusively Licensed

In one embodiment, a method of amplifying temporal variation in at least two images includes converting two or more images to a transform representation. The method further includes, for each spatial position within the two or more images, examining a plurality of coefficient values. The method additionally includes calculating a first vector based on the plurality of coefficient values. The first vector can represent change from a first image to a second image of the at least two images describing deformation. The method also includes modifying the first vector to create a second vector. The method further includes calculating a second plurality of coefficients based on the second vector.

Researchers

William Freeman / Neal Wadhwa / Michael Rubinstein / Hao-Yu Wu / Eugene Shih / Fredo Durand (he/him/his) / John Guttag

Departments: Dept of Electrical Engineering & Computer Science
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals / Sensing & Imaging: Imaging
Impact Areas: Connected World

  • complex-valued phase-based eulerian motion modulation
    United States of America | Granted | 9,324,005
  • eulerian motion modulation
    United States of America | Granted | 9,805,475

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