Visual positioning method based on line laser 3D measurement system

2021 ◽  
Author(s):  
Zai Luo ◽  
Hongnan Zhao ◽  
Wensong Jiang ◽  
Zeliang Cai ◽  
Li Yang
Keyword(s):  
Measurement System ◽  
3D Measurement ◽  
Visual Positioning ◽  
Positioning Method ◽  
On Line ◽  
3D Measurement System

A Structured-Light-Based On-Line 3D Measurement System and Software Development

2005 ◽  
Vol 295-296 ◽  
pp. 399-404
Author(s):  
X.Y. Yu ◽  
F.B. Zhang ◽  
H.J. Yuan ◽  
Z.G. Lang
Keyword(s):  
Measurement System ◽  
High Speed ◽  
Structured Light ◽  
Measuring System ◽  
Depth Image ◽  
Measuring Error ◽  
3D Measurement ◽  
Vision Measurement ◽  
On Line ◽  
3D Measurement System

The objective of this work is to develop a 3D measuring system for on-line 3D measurement in industry locale. Our system is based on the depth image using a structured-light method. A generator emitting a single stripe light and a camera are used to establish a 3D vision measurement system which is also called as a subsystem. But it only can obtain the depth image of a part at the measured object section. Our system is made up of four subsystems placed symmetrically in space. The depth images obtained by the subsystems are joined to form the depth image of a full section. If the object is uniformly shafted along a fixed beeline direction, the depth image of the full object surface is achieved. The indefiniteness in the image combination criterion can be removed when using the depth image. This paper introduces the system principle and the mathematical model. The algorithm is proposed with system parameters. A prototype is developed. The system has the range of 100mm in height x 100mm in width. The length is not limited. The measuring error is less than 0.5mm in height and width and less than 0.01mm in length. The characteristics make the system suitable for on-line 3D shape measurement and non-contact measurement with high speed.

A novel chromatic confocal one-shot 3D measurement system based on DMD

Measurement ◽  
2021 ◽  
pp. 110140
Author(s):  
Qing Yu ◽  
Yali Zhang ◽  
Yi Zhang ◽  
Fang Cheng ◽  
Wenjian Shang ◽  
...  
Keyword(s):  
Measurement System ◽  
3D Measurement ◽  
3D Measurement System

scholarly journals A Real-Time 3D Measurement System for the Blast Furnace Burden Surface Using High-Temperature Industrial Endoscope

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 869 ◽  
Author(s):  
Tianxiang Xu ◽  
Zhipeng Chen ◽  
Zhaohui Jiang ◽  
Jiancai Huang ◽  
Weihua Gui
Keyword(s):  
Blast Furnace ◽  
High Temperature ◽  
Real Time ◽  
Measurement System ◽  
Reconstruction Method ◽  
3D Measurement ◽  
3D Shape ◽  
Camera Array ◽  
3D Measurement System ◽  
High Dust

Capturing the three-dimensional (3D) shape of the burden surface of a blast furnace (BF) in real-time with high accuracy is crucial for improving gas flow distribution, optimizing coke operation, and stabilizing BF operation. However, it is difficult to perform 3D shape measurement of the burden surface in real-time during the ironmaking process because of the high-temperature, high-dust, and lightless enclosed environment inside the BF. To solve this problem, a real-time 3D measurement system is developed in this study by combining an industrial endoscope with a virtual multi-head camera array 3D reconstruction method. First, images of the original burden surface are captured using a purpose-built industrial endoscope. Second, a novel micro-pixel luminance polarization method is proposed and applied to compensate for the heavy noise in the backlit images due to high dust levels and poor light in the enclosed environment. Third, to extract depth information, a multifeature-based depth key frame classifier is designed to filter out images with high levels of clarity and displacement. Finally, a 3D shape burden surface reconstruction method based on a virtual multi-head camera array is proposed for capturing the real-time 3D shape of the burden surface in an operational BF. The results of an industrial experiment illustrate that the proposed method can measure the 3D shape of the entire burden surface and provide reliable burden surface shape information for BF control.

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