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Real-time range acquisition by adaptive structured light.

Thomas P Koninckx1, Luc Van Gool

  • 1Katholieke Universiteit Leuven, ESAT-PSI, Belgium. tkoninck@esat.kuleuven.be

IEEE Transactions on Pattern Analysis and Machine Intelligence
|March 11, 2006
PubMed
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This study introduces a self-adaptive system for real-time 3D reconstruction using structured light. It dynamically adjusts patterns for robust performance and improved 3D range acquisition, even with varying scenes.

Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Optical Metrology

Background:

  • Real-time 3D range acquisition is crucial for many applications.
  • Existing structured light systems often struggle with scene variability due to static coding.
  • A need exists for adaptive systems that can handle dynamic environments.

Purpose of the Study:

  • To develop a self-adaptive system for real-time range acquisition using single-frame structured light.
  • To enhance robustness against scene variability through on-the-fly pattern adaptation.
  • To provide an uncertainty estimation for 3D reconstructions.

Main Methods:

  • Utilizing single-frame structured light illumination for 3D reconstruction.
  • Implementing a self-adaptive system that adjusts projection patterns in real-time.

Related Experiment Videos

  • Employing a weighted combination of coding cues (color, geometry, tracking) to solve the correspondence problem.
  • Reformulating the integration as a graph cut problem, considering camera-projector configuration.
  • Providing per-pixel uncertainty estimation for range maps.

    • Main Results:

    • The system demonstrates robustness against instant scene variability.
    • Adaptive pattern generation improves performance at startup and during operation.
    • Frame rates range from 10 to 25 fps, depending on scene complexity.
    • The system utilizes affordable, unmodified consumer hardware.

    Conclusions:

    • The proposed self-adaptive system offers a robust and cost-effective solution for real-time 3D range acquisition.
    • Dynamic adaptation of structured light patterns significantly improves performance in variable conditions.
    • The method provides valuable uncertainty information for 3D reconstructions.