scholarly journals A Laser Line Auto-Scanning System for Underwater 3D Reconstruction

Sensors ◽  
2016 ◽  
Vol 16 (9) ◽  
pp. 1534 ◽  
Author(s):  
Shukai Chi ◽  
Zexiao Xie ◽  
Wenzhu Chen
Keyword(s):  
3D Reconstruction ◽  
Laser Line ◽  
Scanning System

scholarly journals Real-Time 3D Reconstruction of Thin Surface Based on Laser Line Scanner

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 534 ◽  
Author(s):  
Yuan He ◽  
Shunyi Zheng ◽  
Fengbo Zhu ◽  
Xia Huang
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
Laser Line ◽  
Frame Rate ◽  
Processing Unit ◽  
Memory Usage ◽  
Central Processing ◽  
Time Performance ◽  
Topological Errors ◽  
Line Scanner

The truncated signed distance field (TSDF) has been applied as a fast, accurate, and flexible geometric fusion method in 3D reconstruction of industrial products based on a hand-held laser line scanner. However, this method has some problems for the surface reconstruction of thin products. The surface mesh will collapse to the interior of the model, resulting in some topological errors, such as overlap, intersections, or gaps. Meanwhile, the existing TSDF method ensures real-time performance through significant graphics processing unit (GPU) memory usage, which limits the scale of reconstruction scene. In this work, we propose three improvements to the existing TSDF methods, including: (i) a thin surface attribution judgment method in real-time processing that solves the problem of interference between the opposite sides of the thin surface; we distinguish measurements originating from different parts of a thin surface by the angle between the surface normal and the observation line of sight; (ii) a post-processing method to automatically detect and repair the topological errors in some areas where misjudgment of thin-surface attribution may occur; (iii) a framework that integrates the central processing unit (CPU) and GPU resources to implement our 3D reconstruction approach, which ensures real-time performance and reduces GPU memory usage. The proposed results show that this method can provide more accurate 3D reconstruction of a thin surface, which is similar to the state-of-the-art laser line scanners with 0.02 mm accuracy. In terms of performance, the algorithm can guarantee a frame rate of more than 60 frames per second (FPS) with the GPU memory footprint under 500 MB. In total, the proposed method can achieve a real-time and high-precision 3D reconstruction of a thin surface.

Underwater 3D reconstruction based on laser line scanning

2017 ◽  
Author(s):  
Shanchen Jiang ◽  
Fengna Sun ◽  
Zhaorui Gu ◽  
Haiyong Zheng ◽  
Wang Nan ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Laser Line ◽  
Line Scanning

scholarly journals A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma

2012 ◽  
Vol 35 (2) ◽  
pp. 79-84 ◽  
Author(s):  
Maristela L. Onozato ◽  
Veronica E. Klepeis ◽  
Yukako Yagi ◽  
Mari Mino-Kenudson
Keyword(s):  
Light Microscopy ◽  
3D Reconstruction ◽  
Lung Adenocarcinoma ◽  
Tumor Cells ◽  
New Technologies ◽  
Imaging System ◽  
Structural Information ◽  
Three Dimensional ◽  
Scanning System

Background: Three-dimensional (3D)-reconstruction from paraffin embedded sections has been considered laborious and time-consuming. However, the high-resolution images of large object areas and different fields of view obtained by 3D-reconstruction make one wonder whether it can add a new insight into lung adenocarcinoma, the most frequent histology type of lung cancer characterized by its morphological heterogeneity.Objective: In this work, we tested whether an automated tissue sectioning machine and slide scanning system could generate precise 3D-reconstruction of microanatomy of the lung and help us better understand and define histologic subtypes of lung adenocarcinoma.Methods: Four formalin-fixed human lung adenocarcinoma resections were studied. Paraffin embedded tissues were sectioned with Kurabo-Automated tissue sectioning machine and serial sections were automatically stained and scanned with a Whole Slide Imaging system. The resulting stacks of images were 3D reconstructed by Pannoramic Viewer software.Results: Two of the four specimens contained islands of tumor cells detached in alveolar spaces that had not been described in any of the existing adenocarcinoma classifications. 3D-reconstruction revealed the details of spatial distribution and structural interaction of the tumor that could hardly be observed by 2D light microscopy studies. The islands of tumor cells extended into a deeper aspect of the tissue, and were interconnected with each other and with the main tumor with a solid pattern that was surrounded by the islands. The finding raises the question whether the islands of tumor cells should be classified into a solid pattern in the current classification.Conclusion: The combination of new technologies enabled us to build an effective 3D-reconstruction of resected lung adenocarcinomas. 3D-reconstruction may help us refine the classification of lung adenocarcinoma by adding detailed spatial/structural information to 2D light microscopy evaluation.

3D reconstruction with two webcams and a laser line projector

2014 ◽  
Author(s):  
Dongdong Li ◽  
Bingwei Hui ◽  
Shaohua Qiu ◽  
Gongjian Wen
Keyword(s):  
3D Reconstruction ◽  
Laser Line

3D reconstruction for underwater laser line scanning

2013 ◽  
Author(s):  
Yu Yang ◽  
Bing Zheng ◽  
Hai-yong Zheng ◽  
Zi-tao Wang ◽  
Guo-shuai Wu ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Laser Line ◽  
Line Scanning ◽  
Underwater Laser

The Laser Scanning System Calibrations in Unmanned Yard

2013 ◽  
Vol 718-720 ◽  
pp. 1585-1590 ◽  
Author(s):  
Shi Hui Zhang ◽  
Fang Wen Zhu ◽  
Zheng Peng Yuan ◽  
Jin Bo Chen
Keyword(s):  
3D Reconstruction ◽  
Laser Scanning ◽  
Operating Efficiency ◽  
Scanning System ◽  
Laser Parameter ◽  
Parameter Calibration ◽  
Calibration Algorithm ◽  
Laser Scanning System ◽  
System Operating

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.

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