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Compact and fast depth sensor based on a liquid lens using chromatic aberration to improve accuracy
Optics Express
|May 14, 2021
Summary
This study introduces a compact depth from defocus (DFD) system using a liquid lens. This innovation improves real-time depth measurement accuracy and range by leveraging chromatic aberration.
Area of Science:
- Optics and Photonics
- Computer Vision
- Metrology
Background:
- Depth from defocus (DFD) provides high-resolution depth maps but faces limitations in real-time applications due to mechanical focus limitations and a narrow depth range.
- Conventional DFD systems struggle with rapid focus adjustments and achieving both high accuracy and an extended depth range simultaneously.
Purpose of the Study:
- To develop a compact and real-time capable DFD system that enhances depth accuracy and extends the measurable depth range.
- To utilize a liquid lens and chromatic aberration for improved DFD performance.
Main Methods:
- A novel DFD system was designed incorporating a liquid lens for rapid, electronically controlled focus changes.
- Chromatic aberration was employed to divide the depth range into multiple channels, enhancing depth accuracy.
- System performance was validated through theoretical analysis, simulations, and experimental measurements on 3D objects.
Main Results:
- The liquid lens enabled image acquisition within a single frame period (10 ms response time), suitable for real-time applications.
- The proposed system achieved a significantly lower root mean square error (RMSE) ranging from 0.7 mm to 4.98 mm compared to conventional methods (2.275 mm to 12.3 mm) over a 30 cm to 70 cm depth range.
- The optical system was simplified to only three lenses.
Conclusions:
- The liquid lens-based DFD system offers a practical solution for real-time, high-accuracy depth measurement.
- Leveraging chromatic aberration effectively improves depth accuracy and extends the measurement range in DFD systems.
- This compact DFD system demonstrates superior performance over conventional approaches for 3D object depth measurement.

