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

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

研究成果: Conference contribution

1 引用 (Scopus)

抄録

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.

元の言語English
ホスト出版物のタイトルProceedings - International Conference on Pattern Recognition
ページ2270-2273
ページ数4
DOI
出版物ステータスPublished - 2010
外部発表Yes
イベント2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul
継続期間: 2010 8 232010 8 26

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
Istanbul
期間10/8/2310/8/26

Fingerprint

Optical flows
Iterative methods
Image resolution

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

これを引用

Mochizuki, Y., Kameda, Y., Imiya, A., Sakai, T., & Imaizumi, T. (2010). An iterative method for superresolution of optical flow derived by energy minimisation. : Proceedings - International Conference on Pattern Recognition (pp. 2270-2273). [5595986] https://doi.org/10.1109/ICPR.2010.556

An iterative method for superresolution of optical flow derived by energy minimisation. / Mochizuki, Yoshihiko; Kameda, Yusuke; Imiya, Atsushi; Sakai, Tomoya; Imaizumi, Takashi.

Proceedings - International Conference on Pattern Recognition. 2010. p. 2270-2273 5595986.

研究成果: Conference contribution

Mochizuki, Y, Kameda, Y, Imiya, A, Sakai, T & Imaizumi, T 2010, An iterative method for superresolution of optical flow derived by energy minimisation. : Proceedings - International Conference on Pattern Recognition., 5595986, pp. 2270-2273, 2010 20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, 10/8/23. https://doi.org/10.1109/ICPR.2010.556
Mochizuki Y, Kameda Y, Imiya A, Sakai T, Imaizumi T. An iterative method for superresolution of optical flow derived by energy minimisation. : Proceedings - International Conference on Pattern Recognition. 2010. p. 2270-2273. 5595986 https://doi.org/10.1109/ICPR.2010.556
Mochizuki, Yoshihiko ; Kameda, Yusuke ; Imiya, Atsushi ; Sakai, Tomoya ; Imaizumi, Takashi. / An iterative method for superresolution of optical flow derived by energy minimisation. Proceedings - International Conference on Pattern Recognition. 2010. pp. 2270-2273
@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",

}

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

ER -