Abstract

In this paper, we propose a novel 3D polarimetric computational integral imaging system by using polarization diversity of objects under natural illumination conditions. In the system, the measured Stokes polarization parameters are utilized to generate degree of polarization images of a 3D scene. Based on degree of polarization images and original 2D images, we utilize a modified computational reconstruction method to perform 3D polarimetric image reconstruction. The system may be used to detect or classify objects with distinct polarization signatures in 3D space. Experimental results also show the proposed system may mitigate the effect of occlusion in 3D reconstruction.

Highlights

  • Light polarization can provide an important visual extension and enhance the capabilities of image understanding compared to only intensity imagery

  • We propose a novel 3D polarimetric integral imaging system by using degree of polarization (DoP) images under natural illumination conditions

  • Before implementing the proposed 3D polarimetric integral imaging system, we need to select a proper quarter wave plate (QWP) according to the performance of the image sensor

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Summary

Introduction

Light polarization can provide an important visual extension and enhance the capabilities of image understanding compared to only intensity imagery. Methods have been developed to extract 3D shape information from polarimetric imagery through the relationship between the surface normal and the angle or degree of reflected or emitted polarization [23,24] While these techniques offer the potential to extract 3D information from single polarimetric images, there are limitations to the estimation process due to the complexity of the relationship between the polarimetric measurements and the surface normal; this includes the dependence on unknown parameters such as the material optical constants and surface roughness [25,26]. Experimental results show that the proposed system may mitigate occlusion when surfaces of the occlusion and the occluded objects have different polarization properties

Degree of polarization images
Pickup of polarimetric images
Polarimetric information applied to computational image reconstruction
Experimental results
Conclusion
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