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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

A flexile and high precision calibration method for binocular structured light scanning system.

Jianying Yuan¹, Qiong Wang², Bailin Li²

¹School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, China ; School of Automatic Control and Mechanical Engineering, Kunming University, Kunming, Yunmun 650214, China.

Thescientificworldjournal

|September 10, 2014

Summary

This summary is machine-generated.

This study introduces a new, low-cost camera calibration method for 3D structured light scanning. The technique achieves high precision comparable to expensive methods, enhancing reverse engineering and quality inspection.

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Area of Science:

Computer Vision
Metrology
Optical Engineering

Background:

3D structured light scanning is crucial for reverse engineering and quality inspection.
High precision camera calibration is essential for accurate 3D scanning.
Current calibration methods using specialized objects are costly and complex.

Purpose of the Study:

To develop a novel, cost-effective camera calibration method for 3D structured light scanning systems.
To improve the accessibility and reduce the hardware costs associated with precise 3D scanning.

Main Methods:

A new calibration approach utilizing a scale bar and randomly placed artificial coded targets.
Hierarchical self-calibration and bundle adjustment for parameter estimation.
Factorization for initial extrinsic parameter estimation, refined using orthogonality and absolute quadric constraints.

Main Results:

The proposed method achieves high calibration precision, comparable to traditional methods.
Experimental results demonstrate robustness and accuracy.
Significant reduction in hardware costs compared to existing calibration techniques.

Conclusions:

The novel calibration method offers a practical and economical solution for 3D structured light scanning.
It provides a viable alternative for achieving high-precision scanning without expensive reference objects.
The technique is robust and suitable for applications requiring accurate 3D measurements.