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4D light field segmentation with spatial and angular consistencies

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dc.contributor.author Mihara, Hajime
dc.contributor.author Funatomi, Takuya
dc.contributor.author Tanaka, Kenichiro
dc.contributor.author Kubo, Hiroyuki
dc.contributor.author Mukaigawa, Yasuhiro
dc.contributor.author Nagahara, Hajime
dc.date.accessioned 2020-09-09T09:28:28Z
dc.date.available 2020-09-09T09:28:28Z
dc.date.issued 2016-05-16
dc.identifier.isbn 978-1-4673-8623-4
dc.identifier.uri http://hdl.handle.net/10061/14049
dc.description 2016 IEEE International Conference on Computational Photography (ICCP),Evanston, IL, USA,13-15 May 2016
dc.description.abstract 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. ja_JP
dc.language.iso en ja_JP
dc.publisher IEEE ja_JP
dc.rights @2016 IEEE ja_JP
dc.subject Image segmentation ja_JP
dc.subject Redundancy ja_JP
dc.subject Three-dimensional displays ja_JP
dc.subject Image color analysis ja_JP
dc.subject Image edge detection ja_JP
dc.subject Support vector machines ja_JP
dc.subject Minimization ja_JP
dc.title 4D light field segmentation with spatial and angular consistencies ja_JP
dc.type.nii Conference Paper ja_JP
dc.contributor.transcription フナトミ, タクヤ
dc.contributor.transcription タナカ, ケンイチロウ
dc.contributor.transcription クボ, ヒロユキ
dc.contributor.transcription ムカイガワ, ヤスヒロ
dc.contributor.alternative 舩冨, 卓哉
dc.contributor.alternative 田中, 賢一郎
dc.contributor.alternative 久保, 尋之
dc.contributor.alternative 向川, 康博
dc.textversion author ja_JP
dc.relation.doi 10.1109/ICCPHOT.2016.7492872 ja_JP
dc.identifier.NAIST-ID 74651670 ja_JP
dc.identifier.NAIST-ID 74650524 ja_JP
dc.identifier.NAIST-ID 74651274 ja_JP
dc.identifier.NAIST-ID 74650524 ja_JP

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