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

doi:10.1364/JOSAA.398677

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 journal › Article › peer-review

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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 language	English
Pages (from-to)	1958-1964
Number of pages	7
Journal	Journal of the Optical Society of America A: Optics and Image Science, and Vision
Volume	37
Issue number	12
DOIs	https://doi.org/10.1364/JOSAA.398677
Publication status	Published - 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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10.1364/JOSAA.398677

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Visualization by P-flow : gradient- And feature-based optical flow and vector fields extracted from image analysis. / Suzuki, Wataru; Hiyama, Atsushi; Ichinohe, Noritaka et al.

In: Journal of the Optical Society of America A: Optics and Image Science, and Vision, Vol. 37, No. 12, 01.12.2020, p. 1958-1964.

Research output: Contribution to journal › Article › peer-review

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

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All Science Journal Classification (ASJC) codes

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