An iterative method for superresolution of optical flow derived by energy minimisation

Yoshihiko Mochizuki; Yusuke Kameda; Atsushi Imiya; Tomoya Sakai; Takashi Imaizumi

doi:10.1109/ICPR.2010.556

An iterative method for superresolution of optical flow derived by energy minimisation

Yoshihiko Mochizuki^*, Yusuke Kameda, Atsushi Imiya, Tomoya Sakai, Takashi Imaizumi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Superresolution is a technique to recover a high-resolution image from a low resolution image. We develop a variational superresolution method for the subpixel accurate optical flow computation using variational optimisation. We combine variational superresolution and the variational optical flow computation for the superresolution optical flow computation.

Original language	English
Title of host publication	Proceedings - International Conference on Pattern Recognition
Pages	2270-2273
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2010.556
Publication status	Published - 2010
Externally published	Yes
Event	2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul Duration: 2010 Aug 23 → 2010 Aug 26

Other

Other	2010 20th International Conference on Pattern Recognition, ICPR 2010
City	Istanbul
Period	10/8/23 → 10/8/26

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

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10.1109/ICPR.2010.556

Cite this

@inproceedings{825dc1c0d8b6449689c6fdb33e336485,

title = "An iterative method for superresolution of optical flow derived by energy minimisation",

abstract = "Superresolution is a technique to recover a high-resolution image from a low resolution image. We develop a variational superresolution method for the subpixel accurate optical flow computation using variational optimisation. We combine variational superresolution and the variational optical flow computation for the superresolution optical flow computation.",

author = "Yoshihiko Mochizuki and Yusuke Kameda and Atsushi Imiya and Tomoya Sakai and Takashi Imaizumi",

year = "2010",

doi = "10.1109/ICPR.2010.556",

language = "English",

isbn = "9780769541099",

pages = "2270--2273",

booktitle = "Proceedings - International Conference on Pattern Recognition",

note = "2010 20th International Conference on Pattern Recognition, ICPR 2010 ; Conference date: 23-08-2010 Through 26-08-2010",

}

TY - GEN

T1 - An iterative method for superresolution of optical flow derived by energy minimisation

AU - Mochizuki, Yoshihiko

AU - Kameda, Yusuke

AU - Imiya, Atsushi

AU - Sakai, Tomoya

AU - Imaizumi, Takashi

PY - 2010

Y1 - 2010

N2 - Superresolution is a technique to recover a high-resolution image from a low resolution image. We develop a variational superresolution method for the subpixel accurate optical flow computation using variational optimisation. We combine variational superresolution and the variational optical flow computation for the superresolution optical flow computation.

AB - Superresolution is a technique to recover a high-resolution image from a low resolution image. We develop a variational superresolution method for the subpixel accurate optical flow computation using variational optimisation. We combine variational superresolution and the variational optical flow computation for the superresolution optical flow computation.

UR - http://www.scopus.com/inward/record.url?scp=78149489633&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78149489633&partnerID=8YFLogxK

U2 - 10.1109/ICPR.2010.556

DO - 10.1109/ICPR.2010.556

M3 - Conference contribution

AN - SCOPUS:78149489633

SN - 9780769541099

SP - 2270

EP - 2273

BT - Proceedings - International Conference on Pattern Recognition

T2 - 2010 20th International Conference on Pattern Recognition, ICPR 2010

Y2 - 23 August 2010 through 26 August 2010

ER -

An iterative method for superresolution of optical flow derived by energy minimisation

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