scholarly journals An automatic laser scanning system for accurate 3D reconstruction of indoor scenes

Author(s):  
Danrong Li ◽  
Honglong Zhang ◽  
Zhan Song ◽  
Duhu Man ◽  
Mark W. Jones
2013 ◽  
Vol 718-720 ◽  
pp. 1585-1590 ◽  
Author(s):  
Shi Hui Zhang ◽  
Fang Wen Zhu ◽  
Zheng Peng Yuan ◽  
Jin Bo Chen

In an unmanned yard, some parameters of the system would change due to equipments wear and deformed. These changes resulted in the 3D reconstruction parameters changing. The inaccuracy of the 3D reconstruction parameters decreases the system operating efficiency and result in the waste of resources and energy. In this paper, a rapid laser parameter calibration algorithm was discussed, the experiment result in a real unmanned yard show this method is feasible.


2020 ◽  
Vol 23 (3) ◽  
pp. 277-288
Author(s):  
Shahad A. Al-Saqal ◽  
Ali A. Al-Temeemy

Three-dimensional reconstruction of real objects comprises capturing the appearance and the shape for these objects and determining the three-dimensional coordinates for their profiles. This reconstruction process can be accomplished either by using active or passive techniques. In this paper, a new fusion method is proposed for 3D reconstruction. This method exploits the advantages of both stereo-based passive and laser-based active techniques and overcomes their limitations to improve the performance of 3D reconstruction. With this method, a hybrid laser-based structured light scanning system is designed and implemented. This system captures the required information using passive and active techniques and uses the proposed fusion method for 3D reconstruction. The performance of the proposed method and its scanning system were experimentally evaluated. The evaluation results show high reconstruction performance for the proposed fusion method over the traditional 3D reconstruction techniques. The results also show the effectiveness of the hybrid laser scanning system and its ability to scan and reconstruct the shape and the appearance for real objects using the proposed fusion method.


2018 ◽  
Vol 50 (3) ◽  
pp. 310-322 ◽  
Author(s):  
Xiping Wang ◽  
Ed Thomas ◽  
Feng Xu ◽  
Yunfei Liu ◽  
Brian K Brashaw ◽  
...  

1991 ◽  
Author(s):  
Roswell W. Austin ◽  
Seibert Q. Duntley ◽  
Richard L. Ensminger ◽  
Theodore J. Petzold ◽  
Raymond C. Smith

2011 ◽  
Vol 99 ◽  
pp. S467
Author(s):  
C. Thornberg ◽  
M. Krantz ◽  
F. Nordström ◽  
R. Ljungqvist ◽  
S. Bäck

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