6533b7d8fe1ef96bd1269888
RESEARCH PRODUCT
Three-dimensional polarimetric computational integral imaging
Xiao XiaoMichael T. EismannManuel Martínez-corralGenaro SaavedraBahram Javidisubject
Integral imagingComputer sciencebusiness.industry3D reconstructionPolarimetryIterative reconstructionPolarization (waves)Atomic and Molecular Physics and OpticsOpticsComputer Science::Computer Vision and Pattern RecognitionDegree of polarizationImage sensorbusinessCircular polarizationdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-07-10 | Optics Express |