TY - GEN
T1 - Robust and accurate one-shot 3D reconstruction by 2C1P system with wave grid pattern
AU - Kasuya, Nozomu
AU - Sagawa, Ryusuke
AU - Kawasaki, Hiroshi
AU - Furukawa, Ryo
PY - 2013/10/28
Y1 - 2013/10/28
N2 - In this paper, we propose an active 3D reconstruction method with two cameras and one projector (2C1P) system for capturing moving objects. The system reconstructs the shapes from a single frame of each camera by finding the correspondence between the cameras and the projector Based on projecting wave grid pattern. The projected pattern gives the constraint of correspondence between the two cameras in addition to between a projector and a camera. The proposed method finds correspondence by energy minimization on graphs constructed by detecting a grid pattern in camera images. Since the graphs of two cameras are connected as a single graph by using the constraint between cameras, the proposed method simultaneously finds the correspondences for two cameras, which contributes to the robustness of correspondence search. By merging range images created by the correspondence of each camera, we reduce the occluded area compared to the case of one camera. Finally, the proposed method optimizes the shape as three-view stereo to improve the accuracy of shape measurements. In the experiment, we show the effectiveness of using two cameras by making comparison with the case of one camera.
AB - In this paper, we propose an active 3D reconstruction method with two cameras and one projector (2C1P) system for capturing moving objects. The system reconstructs the shapes from a single frame of each camera by finding the correspondence between the cameras and the projector Based on projecting wave grid pattern. The projected pattern gives the constraint of correspondence between the two cameras in addition to between a projector and a camera. The proposed method finds correspondence by energy minimization on graphs constructed by detecting a grid pattern in camera images. Since the graphs of two cameras are connected as a single graph by using the constraint between cameras, the proposed method simultaneously finds the correspondences for two cameras, which contributes to the robustness of correspondence search. By merging range images created by the correspondence of each camera, we reduce the occluded area compared to the case of one camera. Finally, the proposed method optimizes the shape as three-view stereo to improve the accuracy of shape measurements. In the experiment, we show the effectiveness of using two cameras by making comparison with the case of one camera.
UR - http://www.scopus.com/inward/record.url?scp=84885979805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885979805&partnerID=8YFLogxK
U2 - 10.1109/3DV.2013.40
DO - 10.1109/3DV.2013.40
M3 - Conference contribution
AN - SCOPUS:84885979805
SN - 9780769550671
T3 - Proceedings - 2013 International Conference on 3D Vision, 3DV 2013
SP - 247
EP - 254
BT - Proceedings - 2013 International Conference on 3D Vision, 3DV 2013
T2 - 2013 International Conference on 3D Vision, 3DV 2013
Y2 - 29 June 2013 through 1 July 2013
ER -