TY - GEN
T1 - Unified Underwater Structure-from-Motion
AU - Ichimaru, Kazuto
AU - Taguchi, Yuichi
AU - Kawasaki, Hiroshi
PY - 2019/9
Y1 - 2019/9
N2 - This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface. We provide unified reconstruction techniques for a variety of scenarios such as single static camera and moving refractive interface, single moving camera and static refractive interface, and single moving camera and moving refractive interface. In our basic setup, we assume that the refractive interface is planar, and simultaneously estimate the unknown transformations of the planar interface and the camera, and the unknown target shape using bundle adjustment. We also extend it to relax the planarity assumption, which enables us to use waves of the refractive interface for the reconstruction task. Experiments with real data show the superiority of our method to existing methods.
AB - This paper shows that accurate underwater 3D shape reconstruction is possible using a single camera, observing a target through a refractive interface. We provide unified reconstruction techniques for a variety of scenarios such as single static camera and moving refractive interface, single moving camera and static refractive interface, and single moving camera and moving refractive interface. In our basic setup, we assume that the refractive interface is planar, and simultaneously estimate the unknown transformations of the planar interface and the camera, and the unknown target shape using bundle adjustment. We also extend it to relax the planarity assumption, which enables us to use waves of the refractive interface for the reconstruction task. Experiments with real data show the superiority of our method to existing methods.
UR - http://www.scopus.com/inward/record.url?scp=85075026431&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075026431&partnerID=8YFLogxK
U2 - 10.1109/3DV.2019.00064
DO - 10.1109/3DV.2019.00064
M3 - Conference contribution
T3 - Proceedings - 2019 International Conference on 3D Vision, 3DV 2019
SP - 524
EP - 532
BT - Proceedings - 2019 International Conference on 3D Vision, 3DV 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on 3D Vision, 3DV 2019
Y2 - 15 September 2019 through 18 September 2019
ER -