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Scanning Light Scattering Profiler (SLPS) Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

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Smart agile lens remote optical sensor for three-dimensional object shape measurements.

Nabeel A Riza¹, Syed Azer Reza

¹Photonic Information Processing Systems Laboratory, CREOL, The College of Optics and Photonics, University of Central Florida, 4000 Central Florida Boulevard, Orlando, Florida 32816-2700, USA. riza@creol.ucf.edu

|March 4, 2010

Summary

This study introduces the first electronically controlled variable focus lens (ECVFL) sensor for remote object shape sensing. The novel sensor accurately measures 3D object dimensions using laser optics and an ECVFL, with applications in inspection and reconstruction.

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Area of Science:

Optics and Photonics
Metrology and Measurement Science
3D Sensing Technologies

Background:

Accurate remote object shape sensing is crucial for industrial inspection and 3D reconstruction.
Traditional methods often require physical contact or complex setups.
Developing non-contact, precise shape measurement tools remains an active research area.

Purpose of the Study:

To demonstrate the first electronically controlled variable focus lens (ECVFL)-based sensor for remote object shape sensing.
To validate the sensor's capability in measuring both axial and transverse dimensions of 3D objects.
To assess the accuracy and potential applications of this novel sensing technology.

Main Methods:

Utilized an electronically controlled variable focus lens (ECVFL) tuned by a laser's optical beam intensity profile to measure axial depths.
Employed a lens focal length control calibration table for computing object feature depths.
Applied surface-flooding and variable spatial sampling scan techniques for transverse dimension measurements.
Validated the sensor with a 3D test object composed of LEGO blocks with known dimensions.

Main Results:

The ECVFL-based sensor successfully measured the 3D dimensions of test objects (LEGO structures A, B, C).
Achieved average transverse measurement errors of +/-0.625%, +/-0.41%, and +/-0.38% for structures A, B, and C, respectively.
Attained average axial measurement errors of +/-4.03%, +/-3.9%, and +/-2.01% for structures A, B, and C, respectively.

Conclusions:

The developed ECVFL-based sensor offers a novel and effective method for remote 3D object shape sensing.
The sensor demonstrates high accuracy in both transverse and axial measurements.
Potential applications include machine parts inspection, 3D object reconstruction, and animation.