Abstract

In this paper, we overview a 3D polarimetric imaging system by using integral imaging techniques under natural illumination conditions. To obtain polarimetric information of objects, the Stokes polarization parameters are first measured and then utilized to calculate degree of polarization of the objects. Based on degree of polarization information of each 2D image, a modified computational reconstruction method is presented 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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.