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Related Experiment Video

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How to Create and Use Binocular Rivalry

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Binocular vision profilometry for large-sized rough optical elements using binarized band-limited pseudo-random

Chao Li, Changhe Zhou, Chaofeng Miao

|May 5, 2019

Summary

This summary is machine-generated.

This study introduces a non-contact binocular vision profilometry technique for measuring large rough lenses. The method uses projected patterns and stereo matching for fast, cost-effective surface reconstruction.

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Area of Science:

Optical Metrology
Computer Vision
Surface Characterization

Background:

Accurate measurement of large, rough optical elements is challenging.
Existing methods like Coordinate Measuring Machines (CMM) can be slow and expensive for large components.

Purpose of the Study:

To develop a non-contact, efficient, and cost-effective method for measuring the surface profile of large rough lenses.
To demonstrate the feasibility of binocular vision profilometry for industrial applications.

Main Methods:

Projection of binarized band-limited pseudo-random patterns (BBPPs) onto the lens surface.
Utilizing a temporal encoding method for unique pixel identification.
Employing stereo matching and triangulation for 3D surface reconstruction.

Main Results:

Successful reconstruction of the surface profile for a 300mm rough lens.
Demonstration of a faster and cheaper alternative to CMM for large lens measurement.

Conclusions:

The proposed non-contact binocular vision profilometry method is effective for measuring large rough lenses.
This technique holds potential for future applications in metrology of even larger optical components.