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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Algorithms for 3D shape scanning with a depth camera.

Yan Cui1, Sebastian Schuon, Sebastian Thrun

  • 1Augmented Vision, German Research Center for Artificial Intelligence, Kaiserslautern, Germany. Yan.Cui@dfki.de

IEEE Transactions on Pattern Analysis and Machine Intelligence
|March 23, 2013
PubMed
Summary
This summary is machine-generated.

This study presents a cost-effective 3D object scanning method using Time-of-Flight (ToF) cameras. Despite significant sensor noise, the new algorithm achieves reasonable 3D scan quality, making the technology more accessible.

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Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Sensor Technology

Background:

  • Time-of-Flight (ToF) cameras offer potential for economical 3D scanning at video rates.
  • Existing 3D scanning methods struggle with the substantial noise and systematic bias inherent in low-cost ToF sensors.

Purpose of the Study:

  • To develop an accessible and cost-effective 3D object scanning solution.
  • To overcome the limitations of low-quality data from ToF cameras for 3D scanning.

Main Methods:

  • A novel algorithm combining 3D super-resolution with probabilistic scan alignment.
  • Explicitly accounting for sensor noise characteristics in the alignment process.

Main Results:

  • Achieved reasonable quality 3D scans from a low-data-quality ToF sensor.
  • Demonstrated the ineffectiveness of established filtering and alignment techniques for this sensor.

Conclusions:

  • The proposed method enables accessible and affordable 3D scanning technology.
  • The new algorithm successfully addresses the challenges posed by noisy ToF sensor data.