TY - GEN
T1 - 4D Capture Using Visibility Information of Multiple Projector Camera System
AU - Sagawa, Ryusuke
AU - Kasuya, Nozomu
AU - Oki, Yoshinori
AU - Kawasaki, Hiroshi
AU - Matsumoto, Yoshio
AU - Furukawa, Ryo
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/8/7
Y1 - 2015/8/7
N2 - In this paper, we propose a method with multiple cameras and projectors for 4D capture of moving objects. The issues of previous 4D capture systems are that the number of cameras are limited, and the number of images is very large to capture the sequence at high frame rate. We propose a multiple projector-camera system to tackle this problem. One of the issues of multi-view stereo is to determine visibility of cameras for each point of the surface. While estimating the scene geometry and its visibility is a chicken-and-egg problem for passive multi-view stereo, it was solved by, for example, iterative approach conducting the estimation of visibility and the reconstruction of the scene geometry repeatedly. With our method, since visibility problem is independently solved by using the projected pattern, shapes are recovered efficiently without considering visibility problem. Further, the visibility information is not only used for multi-view stereo reconstruction, but also for merging 3D shapes to eliminate inconsistency between devices. The efficiency of the proposed method is tested in the experiments, proving the merged mesh is suitable for 4Dreconstruction.
AB - In this paper, we propose a method with multiple cameras and projectors for 4D capture of moving objects. The issues of previous 4D capture systems are that the number of cameras are limited, and the number of images is very large to capture the sequence at high frame rate. We propose a multiple projector-camera system to tackle this problem. One of the issues of multi-view stereo is to determine visibility of cameras for each point of the surface. While estimating the scene geometry and its visibility is a chicken-and-egg problem for passive multi-view stereo, it was solved by, for example, iterative approach conducting the estimation of visibility and the reconstruction of the scene geometry repeatedly. With our method, since visibility problem is independently solved by using the projected pattern, shapes are recovered efficiently without considering visibility problem. Further, the visibility information is not only used for multi-view stereo reconstruction, but also for merging 3D shapes to eliminate inconsistency between devices. The efficiency of the proposed method is tested in the experiments, proving the merged mesh is suitable for 4Dreconstruction.
UR - http://www.scopus.com/inward/record.url?scp=84960857540&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960857540&partnerID=8YFLogxK
U2 - 10.1109/3DV.2014.70
DO - 10.1109/3DV.2014.70
M3 - Conference contribution
AN - SCOPUS:84960857540
T3 - Proceedings - 2014 International Conference on 3D Vision Workshops, 3DV 2014
SP - 14
EP - 21
BT - Proceedings - 2014 International Conference on 3D Vision Workshops, 3DV 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on 3D Vision Workshops, 3DV 2014
Y2 - 8 December 2014 through 11 December 2014
ER -