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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2016> 25(3): 413-417
MA Zhi-feng, HAN Fu-hai, WANG Teng-fei. 3D surface reconstruction based on binocular vision using structured light[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(3): 413-417. doi: 10.15918/j.jbit1004-0579.201625.0315
Citation: MA Zhi-feng, HAN Fu-hai, WANG Teng-fei. 3D surface reconstruction based on binocular vision using structured light[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(3): 413-417.doi:10.15918/j.jbit1004-0579.201625.0315
shu

3D surface reconstruction based on binocular vision using structured light

doi:10.15918/j.jbit1004-0579.201625.0315
  • 1.

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;Troop 63600 People's Liberation Army, Jiuquan 732750, Gansu, China

  • Received Date:2014-12-23
    Abstract
  • A 3D surface reconstruction method using a binocular stereo vision technology and a coded structured light, which combines a gray code with phase-shift has been studied. The accuracy of the 3D surface reconstruction mainly depends on the decoding of gray code views and phase-shift views. In order to find the boundary accurately, gray code patterns and their inverses are projected onto a human eye plaster model. The period dislocation between the gray code views and the phase-shift views in the course of decoding has been analyzed and a new method has been proposed to solve it. The splicing method is based on feature points. The result of the 3D surface reconstruction shows the accuracy and reliability of our method.
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    • References (7)
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