Variational method for super-resolution optical flow

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

研究成果: Article

13 引用 (Scopus)

抜粋

The motion fields in an image sequence observed by a car-mounted imaging system depend on the positions in the imaging plane. Since the motion displacements in the regions close to the camera centre are small, for accurate optical flow computation in this region, we are required to use super-resolution of optical flow fields. We develop an algorithm for super-resolution optical flow computation. Super-resolution of images is a technique for recovering a high-resolution image from a low-resolution image and/or image sequence. Optical flow is the appearance motion of points on the image. Therefore, super-resolution optical flow computation yields the appearance motion of each point on the high-resolution image from a sequence of low-resolution images. We combine variational super-resolution and variational optical flow computation in super-resolution optical flow computation. Our method directly computes the gradient and spatial difference of high-resolution images from those of low-resolution images, without computing any high-resolution images used as intermediate data for the computation of optical flow vectors of the high-resolution image.

元の言語English
ページ(範囲)1535-1567
ページ数33
ジャーナルSignal Processing
91
発行部数7
DOI
出版物ステータスPublished - 2011 7
外部発表Yes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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  • これを引用

    Mochizuki, Y., Kameda, Y., Imiya, A., Sakai, T., & Imaizumi, T. (2011). Variational method for super-resolution optical flow. Signal Processing, 91(7), 1535-1567. https://doi.org/10.1016/j.sigpro.2010.11.010