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Related Experiment Video

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Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement.

Changzhi Yu1, Fang Ji2, Junpeng Xue3

  • 1Institute of Mechanical Manufacturing Technology, China Academy of Engineering Physics, Mianyang 621999, China. yuczcaep@163.com.

Sensors (Basel, Switzerland)
|September 22, 2019
PubMed
Summary

This study introduces an adaptive binocular fringe dynamic projection method to improve 3D measurement accuracy. The technique dynamically adjusts projection intensity, overcoming image saturation and enhancing high dynamic range measurements.

Keywords:
adaptive binocular fringe dynamic projectionbinocular calibrationhigh dynamic rangestructured light sensorthree-dimensional measurement

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Area of Science:

  • Optical metrology
  • Computer vision
  • 3D imaging

Background:

  • Fringe projection sensors are widely used for 3D measurement.
  • Measurement accuracy is limited by image saturation and projector non-linearity.
  • Existing methods struggle with high dynamic range scenarios.

Purpose of the Study:

  • To propose an adaptive binocular fringe dynamic projection method.
  • To enhance 3D measurement accuracy and efficiency.
  • To address image saturation and projector non-linear effects.

Main Methods:

  • Combined stereo vision and fringe projection technologies.
  • Developed an adaptive optimal projection intensity method using multi-threshold segmentation.
  • Established binocular saturation point and projection point mapping via binocular transformation and camera-projector mapping.

Main Results:

  • Successfully avoided image saturation through adaptive intensity adjustment.
  • Demonstrated higher accuracy in high dynamic range 3D measurements.
  • The proposed method enhances overall measurement performance.

Conclusions:

  • The adaptive binocular fringe dynamic projection method effectively overcomes limitations of traditional fringe projection sensors.
  • This approach significantly improves accuracy for high dynamic range 3D measurements.
  • The method offers a robust solution for challenging measurement environments.