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Improving the Optical Flow Accuracy Based on the Total Variation of Local-Global method

  • Yugui Zhang
  • , Haonan Fan
  • , Jin Zheng*
  • , Chi Zhang
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The aim of this paper is to improve the optical flow accuracy for the preservation of flow discontinuities in total variation method. The proposed method is based on the total variation of the local-global method, including the following steps: firstly, the initial optical flow is obtained from the local-global method; secondly, the data item and the smoothing item are designed based on initial optical flow by using the total variation, with the data item involving the brightness constancy and the gradient constancy, and the smoothing item involving exponential function; and finally, the optical flow results from the second step are optimized by using median filtering. The experimental results show that our proposed method could enhance the accuracy and robustness of the optical flow on the Middlebury Dataset and the MPI Sintel Dataset.

源语言英语
主期刊名Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
编辑Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
出版商Institute of Electrical and Electronics Engineers Inc.
4658-4664
页数7
ISBN(电子版)9781538650356
DOI
出版状态已出版 - 2 7月 2018
活动2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, 美国
期限: 10 12月 201813 12月 2018

出版系列

姓名Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

会议

会议2018 IEEE International Conference on Big Data, Big Data 2018
国家/地区美国
Seattle
时期10/12/1813/12/18

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