An improved three-dimensional non-scanning laser imaging system based on digital micromirror device

Author(s):  
Wenze Xia ◽  
Shaokun Han ◽  
Jieyu Lei ◽  
Yu Zhai ◽  
Alexander N. Timofeev
1990 ◽  
Author(s):  
Bradley D. Clymer ◽  
Jogikal M. Jagadeesh ◽  
Gregory S. Bergmann ◽  
L. D. Tomei

2018 ◽  
Vol 89 (6) ◽  
pp. 063108
Author(s):  
Wenze Xia ◽  
Yayun Ma ◽  
Shaokun Han ◽  
Yulin Wang ◽  
Fei Liu ◽  
...  

2020 ◽  
Vol 10 (9) ◽  
pp. 3100
Author(s):  
Guang Shi ◽  
Leijue Zheng ◽  
Wen Wang ◽  
Keqing Lu

Existing scanning laser three-dimensional (3D) imaging technology has slow measurement speed. In addition, the measurement accuracy of non-scanning laser 3D imaging technology based on area array detectors is limited by the resolution and response frequency of area array detectors. As a result, applications of laser 3D imaging technology are limited. This paper completed simulations and experiments of a non-scanning 3D imaging system with a single-pixel detector. The single-pixel detector can be used to achieve 3D imaging of a target by compressed sensing to overcome the shortcomings of the existing laser 3D imaging technology. First, the effects of different sampling rates, sparse transform bases, measurement matrices, and reconstruction algorithms on the measurement results were compared through simulation experiments. Second, a non-scanning 3D imaging experimental platform was designed and constructed. Finally, an experiment was performed to compare the effects of different sampling rates and reconstruction algorithms on the reconstruction effect of 3D imaging to obtain a 3D image with a resolution of 8 × 8. The simulation results show that the reconstruction effect of the Hadamard measurement matrix and the minimum total variation reconstruction algorithm performed well.


2017 ◽  
Vol 56 (3) ◽  
pp. 487 ◽  
Author(s):  
Wenze Xia ◽  
Shaokun Han ◽  
Naeem Ullah ◽  
Jingya Cao ◽  
Liang Wang ◽  
...  

2004 ◽  
Vol 29 (4) ◽  
pp. 355 ◽  
Author(s):  
Adonios N. Karpetis ◽  
Thomas B. Settersten ◽  
Robert W. Schefer ◽  
Robert S. Barlow

Photonics ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 173
Author(s):  
Ao Yang ◽  
Jie Cao ◽  
Yang Cheng ◽  
Chuanxun Chen ◽  
Qun Hao

Traditional lidar scans the target with a fixed-size scanning spot and scanning trajectory. Therefore, it can only obtain the depth image with the same pixels as the number of scanning points. In order to obtain a high-resolution depth image with a few scanning points, we propose a scanning and depth image reconstruction method with a variable scanning spot and scanning trajectory. Based on the range information and the proportion of the area of each target (PAET) contained in the multi echoes, the region with multi echoes (RME) is selected and a new scanning trajectory and smaller scanning spot are used to obtain a finer depth image. According to the range and PAET obtained by scanning, the RME is segmented and filled to realize the super-resolution reconstruction of the depth image. By using this method, the experiments of two overlapped plates in space are carried out. By scanning the target with only forty-three points, the super-resolution depth image of the target with 160 × 160 pixels is obtained. Compared with the real depth image of the target, the accuracy of area representation (AOAR) and structural similarity (SSIM) of the reconstructed depth image is 99.89% and 98.94%, respectively. The method proposed in this paper can effectively reduce the number of scanning points and improve the scanning efficiency of the three-dimensional laser imaging system.


1988 ◽  
Author(s):  
Thomas J. Kulp ◽  
Darrel Garvis ◽  
Randall Kennedy ◽  
Thomas G. McRae

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