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 被引用数 (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.

本文言語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
出版ステータスPublished - 2010
外部発表はい
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
CityIstanbul
Period10/8/2310/8/26

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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