Presentation 2009-10-23
Super-resolution Optical Flow using Variational Method
Yoshihiko MOCHIZUKI, Yusuke KAMEDA, Atsushi IMIYA, Tomoya SAKAI, Takashi IMAIZUMI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We develop an algorithm for the super-resolution optical flow computation, by combining variational super-resolution and the variational optical flow computation for the super-resolution optical flow computation. Our method first computes the gradient and the spatial difference of a high-resolution images from these of low-resolution images directly, without computing any high resolution images. Second the algorithm computes optical flow of high-resolution image using the results of the first step.
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Keyword(in English) Optical flow / Super-resolution / Variational image analysis / Motion analysis
Paper # PRMU2009-83
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Conference Information
Committee PRMU
Conference Date 2009/10/15(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Super-resolution Optical Flow using Variational Method
Sub Title (in English)
Keyword(1) Optical flow
Keyword(2) Super-resolution
Keyword(3) Variational image analysis
Keyword(4) Motion analysis
1st Author's Name Yoshihiko MOCHIZUKI
1st Author's Affiliation Graduate School of Advanced Integration Science, Chiba University()
2nd Author's Name Yusuke KAMEDA
2nd Author's Affiliation Graduate School of Advanced Integration Science, Chiba University
3rd Author's Name Atsushi IMIYA
3rd Author's Affiliation Institute of Media and Information Technology, Chiba University
4th Author's Name Tomoya SAKAI
4th Author's Affiliation Institute of Media and Information Technology, Chiba University
5th Author's Name Takashi IMAIZUMI
5th Author's Affiliation Institute of Media and Information Technology, Chiba University
Date 2009-10-23
Paper # PRMU2009-83
Volume (vol) vol.109
Number (no) 249
Page pp.pp.-
#Pages 6
Date of Issue