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A Combined Local-Global Match for Optical Flow

  • Yueran Zu
  • Wenzhong Tang
  • Xiuguo Bao
  • Ke Gao
  • Mingdong Zhang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 875)

Abstract

Optical flow estimation is still an open question in computer vision. Matching is the initialization of the final optical flow results. A good matching is important for the flow. In this paper, a combined local-global matching method is proposed. The local matching method and the global method are integrated together to make a trade-off between the large displacement and local consistency of optical flow. Extensive experiments on state-of-art challenging datasets MPI-Sintel show that the proposed method is efficient and effective.

Keywords

Optical flow Matching method Non-local Global 

Notes

Acknowledgments

This work was supported by National Natural Science Foundation of China(No. 51475025), Beijing Municipal Science and Technology Commission Project Z171100000117010, the National Key Research and Development Plan (Nos. 2016YFB0801203, 2016YFB0801200).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Yueran Zu
    • 1
  • Wenzhong Tang
    • 1
  • Xiuguo Bao
    • 2
  • Ke Gao
    • 3
  • Mingdong Zhang
    • 2
  1. 1.School of Computer Science and EngineeringBeihang UniverstiyBeijingChina
  2. 2.The National Computer Network Emergency Response Technical Team, Coordination Center of ChinaBeijingChina
  3. 3.Institute of Computing Technology Chinese Academy of SciencesBeijingChina

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