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

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages2270-2273
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul
Duration: 2010 Aug 232010 Aug 26

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
CityIstanbul
Period10/8/2310/8/26

    Fingerprint

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

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