2023
DOI: 10.3389/fams.2023.1164491
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Lagrangian motion magnification with double sparse optical flow decomposition

Philipp Flotho,
Cosmas Heiss,
Gabriele Steidl
et al.

Abstract: Microexpressions are fast and spatially small facial expressions that are difficult to detect. Therefore, motion magnification techniques, which aim at amplifying and hence revealing subtle motion in videos, appear useful for handling such expressions. There are basically two main approaches, namely, via Eulerian or Lagrangian techniques. While the first one magnifies motion implicitly by operating directly on image pixels, the Lagrangian approach uses optical flow (OF) techniques to extract and magnify pixel … Show more

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Cited by 4 publications
(1 citation statement)
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“…In Flotho et al (2022) presented a non-supervised technique based on the Lagrangian approach with OF forward warping amplification for amplifying micromotions in facial recordings. By minimizing a double sparse decomposition model for OF and a thresholding approach to identify the pertinent regions, the real regions for OF amplification were discovered.…”
Section: Literature Surveymentioning
confidence: 99%
“…In Flotho et al (2022) presented a non-supervised technique based on the Lagrangian approach with OF forward warping amplification for amplifying micromotions in facial recordings. By minimizing a double sparse decomposition model for OF and a thresholding approach to identify the pertinent regions, the real regions for OF amplification were discovered.…”
Section: Literature Surveymentioning
confidence: 99%