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3D shape measurement based on structured light field imaging

School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China

Special Issues: Advanced Computer Methods and Programs in Biomedicine

In this paper, a three-dimensional (3D) shape measurement method based on structured light field imaging is proposed, which contributes to the biomedical imaging. Generally, light field imaging is challenging to accomplish the 3D shape measurement accurately, as the slope estimation method based on radiance consistency is inaccurate. Taking into consideration the special modulation of structured light field, we utilize the phase information to substitute the phase consistency for the radiance consistency in epi-polar image (EPI) at first. Therefore, the 3D coordinates are derived after light field calibration, but the results are coarse due to slope estimation error and need to be corrected. Furthermore, the 3D coordinates refinement is performed based on relationship between the structured light field image and DMD image of the projector, which allows to improve the performance of the 3D shape measurement. The necessary light field camera calibration is described to generalize its application. Subsequently, the effectiveness of the proposed method is demonstrated with a sculpture and compared to the results of a conventional PMP system.
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Keywords structured light field; biomedical imaging; phase consistency; epipolar image; depth refinement

Citation: Ping Zhou, Yuting Zhang, Yunlei Yu, Weijia Cai, Guangquan Zhou. 3D shape measurement based on structured light field imaging. Mathematical Biosciences and Engineering, 2020, 17(1): 654-668. doi: 10.3934/mbe.2020034

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