Computer Modelling: A Structured Light Vision System For A Mars Rover

1990 ◽  
Author(s):  
John J. Nitao ◽  
Donald H. Cronquist, Jr.
Keyword(s):  
Computer Modelling ◽  
Vision System ◽  
Structured Light ◽  
Mars Rover ◽  
Structured Light Vision

scholarly journals Multi-Camera and Structured-Light Vision System (MSVS) for Dynamic High-Accuracy 3D Measurements of Railway Tunnels

Sensors ◽  
2015 ◽  
Vol 15 (4) ◽  
pp. 8664-8684 ◽  
Author(s):  
Dong Zhan ◽  
Long Yu ◽  
Jian Xiao ◽  
Tanglong Chen
Keyword(s):  
Vision System ◽  
Structured Light ◽  
High Accuracy ◽  
3D Measurements ◽  
Structured Light Vision

High-Frame-Rate Structured Light 3-D Vision for Fast Moving Objects

2014 ◽  
Vol 26 (3) ◽  
pp. 311-320 ◽  
Author(s):  
Yongjiu Liu ◽  
◽  
Hao Gao ◽  
Qingyi Gu ◽  
Tadayoshi Aoyama ◽  
...  
Keyword(s):  
Fast Moving ◽  
Moving Objects ◽  
Vision System ◽  
Structured Light ◽  
Gray Code ◽  
Frame Rate ◽  
3D Vision ◽  
High Frame Rate ◽  
Depth Images ◽  
Structured Light Vision

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260003/04.jpg"" width=""300"" />HFR 3D vision system</span></div> This paper presents a fast motion-compensated structured-light vision system that realizes 3-D shape measurement at 500 fps using a high-frame-rate camera-projector system. Multiple light patterns with an 8-bit gray code, are projected on the measured scene at 1000 fps, and are processed in real time for generating 512 × 512 depth images at 500 fps by using the parallel processing of a motion-compensated structured-light method on a GPU board. Several experiments were performed on fast-moving 3-D objects using the proposed method. </span>

Dual surface structured light vision system based on multidimensional parameter coding

2019 ◽  
Vol 58 (26) ◽  
pp. 7212 ◽  
Author(s):  
Ming Xu ◽  
Xianxin Lu ◽  
Haiming Huang ◽  
Minjun Zhai ◽  
Qiong Luo ◽  
...  
Keyword(s):  
Vision System ◽  
Structured Light ◽  
Multidimensional Parameter ◽  
Structured Light Vision

scholarly journals Flexible Three-Dimensional Reconstruction via Structured-Light-based Visual Positioning and Global Optimization

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1583 ◽  
Author(s):  
Lei Yin ◽  
Xiangjun Wang ◽  
Yubo Ni
Keyword(s):  
Global Optimization ◽  
Vision System ◽  
Structured Light ◽  
Three Dimensional ◽  
Iteration Algorithm ◽  
Localization Algorithm ◽  
Camera System ◽  
Precise Position ◽  
Visual Positioning ◽  
Structured Light Vision

Three-dimensional (3D) reconstruction using line structured light vision system commonly cooperates with motion restraint devices, such as parallel guide rail push-broom devices. In this study, we propose a visual positioning method to eliminate the motion constraint. An extended orthogonal iteration algorithm for visual positioning is proposed to obtain the precise position of the line structured light binocular camera system during movement. The algorithm uses the information acquired by the binocular camera, and produces a better positioning accuracy than the traditional vision localization algorithm. Furthermore, a global optimization method is proposed to calculate the poses of the camera relative to the world coordinate system at each shooting position. This algorithm effectively reduces the error accumulation and pose drift during visual positioning, and 3D information of the surface can be measured via the proposed free-moving line structured light vision system. The simulation and physical experiments performed herein validate the proposed method and demonstrate the significant improvement in the reconstruction accuracy: when the test distance is 1.5 m, the root mean square error of the point cloud is within 0.5 mm.

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