TY - GEN
T1 - 4D light field segmentation with spatial and angular consistencies
AU - Mihara, Hajime
AU - Funatomi, Takuya
AU - Tanaka, Kenichiro
AU - Kubo, Hiroyuki
AU - Mukaigawa, Yasuhiro
AU - Nagahara, Hajime
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/15
Y1 - 2016/6/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84979671168&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979671168&partnerID=8YFLogxK
U2 - 10.1109/ICCPHOT.2016.7492872
DO - 10.1109/ICCPHOT.2016.7492872
M3 - Conference contribution
AN - SCOPUS:84979671168
T3 - 2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings
BT - 2016 IEEE International Conference on Computational Photography, ICCP 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Computational Photography, ICCP 2016
Y2 - 13 May 2016 through 15 May 2016
ER -