Abstract

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.

Highlights

  • Structured-light 3D vision measurement is becoming increasingly important owing to its noncontact, high precision, and good system flexibility

  • For any illuminated point P on the light stripe formed by light plane π1l and the object surface, its coordinate in ow − xwywzw is denoted by Pw =T and its coordinate in oc1 − xc1yc1zc1 is denoted by Pc =T

  • A novel approach is presented to capture the 3D surface based on multiline structured-light sensors

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Summary

Introduction

Structured-light 3D vision measurement is becoming increasingly important owing to its noncontact, high precision, and good system flexibility. The other category is the double structured-light 3D surface capturing system, which is composed of two structured-light sensors For such a system, the measured object is scanned from two different angels, so the measurement range is expanded and the dead zone is reduced relatively. To design and use a MSSS system, three main aspects need to be made efforts on: the measurement model, the extraction and arrangement of light stripes, and system calibration. The model described in [9] requires the camera optical axis to be parallel to the datum axis, while, in the model established in [10], the structured-light plane should be perpendicular to the measurement platform Both of the two models have restrictions due to the spatial arrangement limitations of their system components, which increased the difficulty of system implementation.

Construct of the MSSS
Measurement Model
Light Stripes Extraction and Arrangement
System Calibration
Experimental Results
Conclusions
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