Development of scanning laser sensor for underwater 3D imaging with the coaxial optics

2014 ◽  
Author(s):  
Hideaki Ochimizu ◽  
Masaharu Imaki ◽  
Shumpei Kameyama ◽  
Takashi Saito ◽  
Shoujirou Ishibashi ◽  
...  
2018 ◽  
Vol 1065 ◽  
pp. 142006
Author(s):  
Johannes Schlarp ◽  
Ernst Csencsics ◽  
Georg Schitter
Keyword(s):  

2018 ◽  
Vol 11 (10) ◽  
pp. 711-727
Author(s):  
卜禹铭 BU Yu-ming ◽  
杜小平 DU Xiao-ping ◽  
曾朝阳 ZENG Zhao-yang ◽  
赵继广 ZHAO Ji-guang ◽  
宋一铄 SONG Yi-shuo

2013 ◽  
Author(s):  
M. Imaki ◽  
N. Kotake ◽  
H. Tsuji ◽  
A. Hirai ◽  
S. Kameyama
Keyword(s):  

1999 ◽  
Author(s):  
Andreas Ullrich ◽  
Rainer Reichert ◽  
Nikolaus Studnicka ◽  
Johannes Riegl

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.


2018 ◽  
Vol 11 (5) ◽  
pp. 711-727 ◽  
Author(s):  
卜禹铭 BU Yu-ming ◽  
杜小平 DU Xiao-ping ◽  
曾朝阳 ZENG Zhao-yang ◽  
赵继广 ZHAO Ji-guang ◽  
宋一铄 SONG Yi-shuo

2011 ◽  
Vol 2 (11) ◽  
pp. 2982 ◽  
Author(s):  
Marko Heidrich ◽  
Mark P. Kühnel ◽  
Manuela Kellner ◽  
Raoul-Amadeus Lorbeer ◽  
Tineke Lange ◽  
...  

2016 ◽  
Vol 44 (5) ◽  
pp. 316
Author(s):  
Shumpei KAMEYAMA ◽  
Masaharu IMAKI ◽  
Hideaki OCHIMIZU ◽  
Takashi SAITO ◽  
Shojiro ISHIBASHI ◽  
...  
Keyword(s):  

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