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An optimized phase-shifting algorithm for depth image acquisition

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Abstract

As developing science and technology, traditional two-dimensional computer vision cannot meet the people’s needs for the three-dimensional recognition, and the depth information of objects are required by more and more applications. Recently, structured light has become one of the core techniques of depth acquisition. The main idea of the approach is first projecting pre-designed pattern onto objects, then capturing an image and processing further. In a structured light system, the phase-shifting algorithm, which is a depth acquiring algorithm for sinusoidal pattern, is discussed in this paper, and is argued that its performance weakness for applying in the real time environments. Then we propose the performance optimization on its phase wrapping step and phase unwrapping step, respectively. Finally, we compare acquiring results and advantages as well as disadvantages of them by experiments results. Experiments show that the optimized phase-shifting algorithm is 4.6× faster than the original one with the ignorable errors.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China (61662057, 61672143, U1435216), the Fundamental Research Funds for the Central Universities (N162504007, N161602003, N151704004), the Doctor Research Starting Foundation of Liaoning (20141011).

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Authors and Affiliations

  1. School of Metallurgy, Northeastern University, Shenyang, 110819, China

    Hui Liu & Fusheng Yan

  2. Software College, Northeastern University, Shenyang, 110819, China

    Beilei Wang & Jie Song

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  1. Hui Liu
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  2. Beilei Wang
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Correspondence to Jie Song.

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Liu, H., Wang, B., Yan, F. et al. An optimized phase-shifting algorithm for depth image acquisition. Multimed Tools Appl 78, 5367–5380 (2019). https://doi.org/10.1007/s11042-018-6007-4

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  • DOI: https://doi.org/10.1007/s11042-018-6007-4

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