TY - GEN
T1 - Real-time camera pose estimation based on multiple planar markers
AU - Yu, Rui
AU - Yang, Tao
AU - Zheng, Jiangbin
AU - Zhang, Xingong
PY - 2010
Y1 - 2010
N2 - Vision-based registration techniques for augmented real-ity(AR) systems have been the subject of intensive research recently due to their potential to accurately align virtual objects with the real world. The downfall of these vision-based approaches, however, is their high computational cost and lack of robustness. To address these shortcomings, a robust pose estimation algorithm based on artificial planar markers is adopted. This algorithm solves the problem of camera pose ambiguities and is able to draw a unique and robust solution. Experiments show the robustness and effectiveness of this method in the context of real-time AR tracking.
AB - Vision-based registration techniques for augmented real-ity(AR) systems have been the subject of intensive research recently due to their potential to accurately align virtual objects with the real world. The downfall of these vision-based approaches, however, is their high computational cost and lack of robustness. To address these shortcomings, a robust pose estimation algorithm based on artificial planar markers is adopted. This algorithm solves the problem of camera pose ambiguities and is able to draw a unique and robust solution. Experiments show the robustness and effectiveness of this method in the context of real-time AR tracking.
UR - http://www.scopus.com/inward/record.url?scp=77952276216&partnerID=8YFLogxK
U2 - 10.1109/ICIG.2009.93
DO - 10.1109/ICIG.2009.93
M3 - 会议稿件
AN - SCOPUS:77952276216
SN - 9780769538839
T3 - Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009
SP - 640
EP - 645
BT - Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009
T2 - 5th International Conference on Image and Graphics, ICIG 2009
Y2 - 20 September 2009 through 23 September 2009
ER -