Disparity Surface Reconstruction Based on a Stereo Light Microscope and Laser Fringes
1College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,Beijing 100124,China.
Summary
This study introduces a new method for microscopic 3D surface reconstruction using a stereo light microscope (SLM) and laser scanning. It accurately measures microscopic object profiles, outperforming traditional stereo matching techniques.
Area of Science:
- Optical Engineering
- Metrology
- Computer Vision
Background:
- Microscopic vision systems (MVS) using stereo light microscopes (SLM) are crucial for micro-scale measurements.
- Conventional stereo matching methods struggle with feature-poor images and produce mismatched points, limiting accuracy.
Purpose of the Study:
- To develop a novel and accurate method for disparity surface reconstruction in microscopic fields.
- To overcome limitations of conventional stereo matching for microscopic object profiling.
Main Methods:
- Combined SLM with laser fringe scanning to capture stereo image sequences with laser stripes.
- Extracted and aligned central contours of laser stripes within a defined disparity coordinate system.
- Developed a disparity contour alignment method for precise surface analysis.
Main Results:
- Achieved a precision of ±0.5 pixels in disparity surface reconstruction.
- Demonstrated consistency between real and measured shapes of microscopic objects.
- Outperformed conventional block-matching methods in accuracy and reliability.
Conclusions:
- The proposed method accurately measures surface profiles of microscopic objects.
- Integration of SLM and laser scanning offers a robust solution for microscopic metrology.
- The developed technique enhances disparity surface reconstruction for micro-scale applications.
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