Abstract

The acquisition of three-dimensional surface data plays an increasingly important role in the industrial sector. Numerous 3D shape measurement techniques have been developed. However, there are still limitations and challenges in fast measurement of large-scale objects or high-speed moving objects. The innovative line scan technology opens up new potentialities owing to the ultra-high resolution and line rate. To this end, a sensor for in-motion continuous 3D shape measurement based on dual line-scan cameras is presented. In this paper, the principle and structure of the sensor are investigated. The image matching strategy is addressed and the matching error is analyzed. The sensor has been verified by experiments and high-quality results are obtained.

Highlights

  • Three-dimensional (3D) shape measurement is widely utilized in various industries, including automobile, shipbuilding, aviation, and aerospace

  • Structured light techniques are most applied in industrial inspection due to their high accuracy, non-invasiveness, non-contact, and flexibility

  • The general objective of our research is to provide a sensor for in-motion continuous 3D shape measurement based on dual line-scan cameras, aiming for precise and fast measurement of large-scale or moving objects in industrial applications

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Summary

Introduction

Three-dimensional (3D) shape measurement is widely utilized in various industries, including automobile, shipbuilding, aviation, and aerospace. The general objective of our research is to provide a sensor for in-motion continuous 3D shape measurement based on dual line-scan cameras, aiming for precise and fast measurement of large-scale or moving objects in industrial applications. The first key technology is triangulation of line-scan cameras, which determines the 3D coordinates of each point Another key technology is the stereo configuration of the sensor, which arranges the cameras optimally to facilitate a high-speed measurement. Both key technologies are presented in the following subsections, respectively

Triangulation of Line-Scan Cameras
Stereo Configuration of the Sensor
Structured
Real-Time Correlation Method
Matching Error against Non-Coplanar Viewing Planes
Experimental
A DLP LightCrafter
11. Reference
The two columns are the experimental deviations in Tableare
Conclusions

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