Feasibility study for compressive multi-dimensional integral imaging
Optics Express (Impact Factor: 3.49). 02/2013; 21(4):4263-4279. DOI: 10.1364/OE.21.004263
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.
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.
Conference Paper: 3D Imaging with Compressive Sensing[Show abstract] [Hide abstract]
ABSTRACT: In this invited paper, we present an overview of our previously published work on using compressive sensing in 3D imaging. We shall examine a variety of 3D imaging approaches and applications, including integral imaging, holography, 3D scene reconstruction and 3D object recognition.
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