4D light field segmentation with spatial and angular consistencies

Hajime Mihara, Takuya Funatomi, Kenichiro Tanaka, Hiroyuki Kubo, Yasuhiro Mukaigawa, Hajime Nagahara

研究成果: 著書/レポートタイプへの貢献会議での発言

14 引用 (Scopus)

抜粋

In this paper, we describe a supervised four-dimensional (4D) light field segmentation method that uses a graph-cut algorithm. Since 4D light field data has implicit depth information and contains redundancy, it differs from simple 4D hyper-volume. In order to preserve redundancy, we define two neighboring ray types (spatial and angular) in light field data. To obtain higher segmentation accuracy, we also design a learning-based likelihood, called objectness, which utilizes appearance and disparity cues. We show the effectiveness of our method via numerical evaluation and some light field editing applications using both synthetic and real-world light fields.

元の言語英語
ホスト出版物のタイトル2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781467386234
DOI
出版物ステータス出版済み - 6 15 2016
イベント2016 IEEE International Conference on Computational Photography, ICCP 2016 - Evanston, 米国
継続期間: 5 13 20165 15 2016

出版物シリーズ

名前2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings

その他

その他2016 IEEE International Conference on Computational Photography, ICCP 2016
米国
Evanston
期間5/13/165/15/16

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Instrumentation

これを引用

Mihara, H., Funatomi, T., Tanaka, K., Kubo, H., Mukaigawa, Y., & Nagahara, H. (2016). 4D light field segmentation with spatial and angular consistencies. : 2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings [7492872] (2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCPHOT.2016.7492872