3D polarimetric integral imaging in low illumination conditions

Xin Shen; Artur Carnicer; Bahram Javidi

doi:10.1117/12.2559158

22 April 2020 3D polarimetric integral imaging in low illumination conditions

Xin Shen, Artur Carnicer, Bahram Javidi

Proceedings Volume 11402, Three-Dimensional Imaging, Visualization, and Display 2020; 1140203 (2020) https://doi.org/10.1117/12.2559158
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

We overview a previously reported three-dimensional (3D) polarimetric integral imaging method and algorithms for extracting 3D polarimetric information in low light environment. 3D integral imaging reconstruction algorithm is first performed to the originally captured two-dimensional (2D) polarimetric images. The signal-to-noise ratio (SNR) of the 3D reconstructed polarimetric image is enhanced comparing with the 2D images. The Stokes polarization parameters are measured and applied for the calculation of the 3D volumetric degree of polarization (DoP) image of the scene. Statistical analysis on the 3D DoP can extract the polarimetric properties of the scene. Experimental results verified the proposed method out performs the conventional 2D polarimetric imaging in low illumination environment.

Conference Presentation

Citation Download Citation

Xin Shen, Artur Carnicer, and Bahram Javidi "3D polarimetric integral imaging in low illumination conditions", Proc. SPIE 11402, Three-Dimensional Imaging, Visualization, and Display 2020, 1140203 (22 April 2020); https://doi.org/10.1117/12.2559158

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