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High-resolution, real-time 3D imaging with fringe analysis

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Abstract

Real-time 3D imaging is becoming increasingly important in areas such as medical science, entertainment, homeland security, and manufacturing. Numerous 3D imaging techniques have been developed, but only a few of them have the potential to achieve realtime. Of these few, fringe analysis based techniques stand out, having many advantages over the rest. This paper will explain the principles behind fringe analysis based techniques, and will provide experimental results from systems using these techniques.

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Acknowledgments

The authors would like to thank William Lohry for his contribution on rendering the facial data with Blender, and Victor Villagomez and Ying Xu for processing the data. All these individuals are undergraduate students working under the supervision of Dr. Zhang in the 3D Machine Vision Laboratory at Iowa State University.

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Authors and Affiliations

  1. Human Computer Interaction, Iowa State University, Ames, IA, 50011, USA

    Nikolaus Karpinsky

  2. Mechanical Engineering Department, Human Computer Interaction, Iowa State University, Ames, IA, 50011, USA

    Song Zhang

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  1. Nikolaus Karpinsky
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  2. Song Zhang
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Correspondence to Song Zhang.

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Karpinsky, N., Zhang, S. High-resolution, real-time 3D imaging with fringe analysis. J Real-Time Image Proc 7, 55–66 (2012). https://doi.org/10.1007/s11554-010-0167-4

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  • DOI: https://doi.org/10.1007/s11554-010-0167-4

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