Visualization by P-flow: gradient- And feature-based optical flow and vector fields extracted from image analysis

Wataru Suzuki, Atsushi Hiyama, Noritaka Ichinohe, Wakayo Yamashita, Takeharu Seno, Hiroshige Takeichi

Research output: Contribution to journalArticlepeer-review

Abstract

We proposed a method for extracting the optical flow suitable for visualization, pseudo-flow (P-flow), from a natural movie [Exp. Brain Res. 237, 3321 (2019)]. The P-flow algorithm comprises two stages: (1) extraction of a local motion vector field from two successive frames and (2) tracking of vectors between two successive frame pairs. In this study, we show that while P-flow takes a feature (vector) tracking approach, it is also classified as a gradient-based approach that satisfies the brightness constancy constraint. We also incorporate interpolation and a corner detector to address the shortcomings associated with the two approaches.

Original languageEnglish
Pages (from-to)1958-1964
Number of pages7
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume37
Issue number12
DOIs
Publication statusPublished - Dec 1 2020

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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