Planar-Target-Based Structured Light Calibration Method for Flexible Large-Scale 3D Vision Measurement

This template explains and demonstrates how to design a measurement system based on the size of the linear structured light vision, the system could works at realized the high precision and fast measurement of the size of mechanical parts, and accurate calibration of the system. First of all, this paper set up the experimental platform based on linear structured light vision measurement. Secondly, this paper established a system of measurement model, and puts forward a new method of calibration of structured light sensor and set up the mathematical model of sensor calibration. This calibration method only need to use some gage blocks of high precision as the target, the target position need not have a strict requirements, and the solving process will be more convenient, much easier to field use and maintenance. Finally, measuring accuracy on the system by gage blocks with high precision is verified, the experiment shows that measurement accuracy within 0.050 mmin the depth of 0-80 - mm range. This system can satisfy the demands of precision testing of most industrial parts .with its simple calibration process and high precision, it is suitable for the structured light vision calibration.

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Novel Calibration Method for Axes in Line Structured Light Vision Measurement System

Chinese Journal of Lasers ◽

10.3788/cjl201239.1108014 ◽

2012 ◽

Vol 39 (11) ◽

pp. 1108014 ◽

Cited By ~ 1

Author(s):

陈新禹 Chen Xinyu ◽

马孜 Ma Zi ◽

陈天飞 Chen Tianfei ◽

李鹏 Li Peng

Keyword(s):

Measurement System ◽

Structured Light ◽

Calibration Method ◽

Vision Measurement ◽

Structured Light Vision

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3-Step-Calibration of 3D Vision Measurement System Based-on Structured Light

International Journal of Automation Technology ◽

10.20965/ijat.2014.p0484 ◽

2014 ◽

Vol 8 (3) ◽

pp. 484-489 ◽

Cited By ~ 3

Author(s):

Rui-Yin Tang ◽

◽

Zhou-Mo Zeng ◽

Chang-Ku Sun ◽

Peng Wang ◽

...

Keyword(s):

Measurement System ◽

Measurement Accuracy ◽

Structured Light ◽

Hard Disk ◽

Disk Surface ◽

Measurement Model ◽

3D Vision ◽

Vision Measurement ◽

Light Measurement ◽

Key Steps

In structured light 3D vision measurement system, calibration tasks are key steps. Aiming at a special application of line structured light measurement, namely computer hard-disk surface planeness measurement at a precision equipment manufacturing company in Singapore, and combining with the structured light measurement model, determined three calibration tasks of the system. The three calibrating tasks concluded: calibrating the camera parameters; calibrating the light plane pose and calibrating the movement pose. At the same time, according to the three calibration results, measured the computer hard disk, and reconstructed the 3D model of the computer hard disk. The experimental results show that, the whole system of three calibration process is simple and reliable, the method does not need any auxiliary adjustment and realize the measurement accuracy about 0.023 mm. The work laid the better foundation for hard disk planeness vision measurement.

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Embedded 3D vision measurement system based on the line structured light

Proceeding of the 11th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2014.7053750 ◽

2014 ◽

Cited By ~ 1

Author(s):

Zhao Wang ◽

Xuewei Cao ◽

Haitao Song ◽

Han Xiao ◽

Wenhao He ◽

...

Keyword(s):

Measurement System ◽

Structured Light ◽

3D Vision ◽

Vision Measurement

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3D Wide FOV Scanning Measurement System Based on Multiline Structured-Light Sensors

Advances in Mechanical Engineering ◽

10.1155/2014/758679 ◽

2014 ◽

Vol 6 ◽

pp. 758679 ◽

Cited By ~ 2

Author(s):

He Gao ◽

Fuqiang Zhou ◽

Bin Peng ◽

Yexin Wang ◽

Haishu Tan

Keyword(s):

Measurement System ◽

High Efficiency ◽

Structured Light ◽

Ccd Camera ◽

Measurement Range ◽

Object Surface ◽

3D Vision ◽

Vision Measurement ◽

Measurement Area ◽

Wide Fov

Structured-light three-dimensional (3D) vision measurement is currently one of the most common approaches to obtain 3D surface data. However, the existing structured-light scanning measurement systems are primarily constructed on the basis of single sensor, which inevitably generates three obvious problems: limited measurement range, blind measurement area, and low scanning efficiency. To solve these problems, we developed a novel 3D wide FOV scanning measurement system which adopted two multiline structured-light sensors. Each sensor is composed of a digital CCD camera and three line-structured-light projectors. During the measurement process, the measured object is scanned by the two sensors from two different angles at a certain speed. Consequently, the measurement range is expanded and the blind measurement area is reduced. More importantly, since six light stripes are simultaneously projected on the object surface, the scanning efficiency is greatly improved. The Multiline Structured-light Sensors Scanning Measurement System (MSSS) is calibrated on site by a 2D pattern. The experimental results show that the RMS errors of the system for calibration and measurement are less than 0.092 mm and 0.168 mm, respectively, which proves that the MSSS is applicable for obtaining 3D object surface with high efficiency and accuracy.

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Calibration Method for Structured Light Vision Sensor Based on Planar Target

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.4321 ◽

2011 ◽

Vol 71-78 ◽

pp. 4321-4324

Author(s):

Zhen Qian Liu ◽

Shun Wang ◽

Yi Xin Zhang

Keyword(s):

Coordinate System ◽

Simple Procedure ◽

Structured Light ◽

Least Square ◽

Vision Sensor ◽

Vision Measurement ◽

World Coordinate System ◽

Planar Target ◽

Structured Light Vision ◽

Camera Coordinate System

The calibration of structured light vision sensor is the key technique in structured light 3D vision measurement. In this paper, a novel method for structured light vision sensor calibration is presented. In our method, a simple 2D planar target is used, and the corresponding world coordinate system is set for the target at different positions as well as the transformation relationships between world coordinate system camera coordinate system and image coordinate system. The intersecting line equations at different positions are unified under the camera coordinate system after processing. Then we can use least square method to fit the structured light equation. The experimental results show that the proposed method is an efficient method with high precision and simple procedure.

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