Feasibility study for compressive multi-dimensional integral imaging
ABSTRACT This paper describes a generalized framework for single-exposure acquisition of multi-dimensional scene information using integral imaging system based on compressive sensing. In the proposed system, a multi-dimensional scene containing a plurality of information such as 3D coordinates, spectral and polarimetric data is captured by integral imaging optics. The image sensor uses pixel-wise filtering elements arranged randomly. The multi-dimensional original object is reconstructed using an algorithm with a sparsity constraint. The proposed system is demonstrated with simulations and feasible optical experiments based on synthetic aperture integral imaging using multi-dimensional objects including 3D coordinates, spectral, and polarimetric information.
Conference Paper: 3D imaging and visualization: An overview of recent advances[Show abstract] [Hide abstract]
ABSTRACT: This paper presents an overview of our published work on physical principles, applications, and advances in integral imaging and digital holography. Various approaches for image capture, image reconstruction, and 3D display methods are overviewed. Applications including 3D underwater imaging, 3D imaging in photon-starved environments, 3D tracking of occluded objects, 3D optical microscopy, and 3D polarimetric imaging are reviewed.Information Optics (WIO), 2013 12th Workshop on; 01/2013
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ABSTRACT: Polariscopes are the basic instruments used for the analysis of the stress state of transparent materials. Polarized light passing through a 3D object carries the integrated effect of the stress field along the light path. Therefore, conventional polariscopes are not able to discern the stress state of objects involving multiple plates with mutual occlusions. In this paper we propose a novel experimental system for three-dimensional stress analysis based on the combination of a polariscope and Synthetic Aperture Integral Imaging technique. Experimental results show the system's ability to recover the information of the stress distribution of a set of plates located at different depths having mutual occlusions.Journal of Display Technology 04/2014; 10(4):255-262. DOI:10.1109/JDT.2013.2287767 · 1.69 Impact Factor
Conference Paper: Multi-dimensional imaging using compressive sensing[Show abstract] [Hide abstract]
ABSTRACT: We have proposed and demonstrated multiple frameworks to acquire multi-dimensional optical information, containing three-dimensional positions, spectrums, polarizations, etc., with a single-shot based on compressive sensing. This paper describes an overview of these frameworks.Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2013 Conference on; 01/2013