TY - GEN
T1 - A fast method for large-scale scene data acquisition and 3d reconstruction
AU - Li, Yao
AU - Xie, Yang
AU - Wang, Xijing
AU - Luo, Xun
AU - Qi, Yue
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Large-scale 3D scene has an important application prospect in virtual reality and augmented reality. However, due to the doubling of the amount of data in the 3D reconstruction of large-scale outdoor scene, the index of time becomes a great challenge under the condition of maintaining a certain degree of accuracy. In this paper, we provide a set of methods of aerial photography data acquisition and cluster-based 3D model reconstruction for large-scale scene. Firstly, for the data acquisition end, we adopt two strategies of track pre-planning and feedback-based trajectory planning to meet the requirements of efficient data acquisition. Secondly, we have designed and implemented a distributed 3D reconstruction system to process a large number of aerial photographs, which can quickly and robustly reconstruct large-scale 3D models. Finally, we simulate the crowd behavior based on the PEM model in the reconstructed 3D scene, which has a useful guiding significance for people's daily activities and emergency problems.
AB - Large-scale 3D scene has an important application prospect in virtual reality and augmented reality. However, due to the doubling of the amount of data in the 3D reconstruction of large-scale outdoor scene, the index of time becomes a great challenge under the condition of maintaining a certain degree of accuracy. In this paper, we provide a set of methods of aerial photography data acquisition and cluster-based 3D model reconstruction for large-scale scene. Firstly, for the data acquisition end, we adopt two strategies of track pre-planning and feedback-based trajectory planning to meet the requirements of efficient data acquisition. Secondly, we have designed and implemented a distributed 3D reconstruction system to process a large number of aerial photographs, which can quickly and robustly reconstruct large-scale 3D models. Finally, we simulate the crowd behavior based on the PEM model in the reconstructed 3D scene, which has a useful guiding significance for people's daily activities and emergency problems.
KW - Crowd simulation
KW - Distributed modeling
KW - Large-Scale
KW - Path planning
UR - https://www.scopus.com/pages/publications/85078795414
U2 - 10.1109/ISMAR-Adjunct.2019.00-20
DO - 10.1109/ISMAR-Adjunct.2019.00-20
M3 - 会议稿件
AN - SCOPUS:85078795414
T3 - Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
SP - 321
EP - 325
BT - Adjunct Proceedings of the 2019 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2019
Y2 - 14 October 2019 through 18 October 2019
ER -