Paper
24 November 2009 Three-dimensional scene reconstruction by using lenslet array model in computational integral imaging
YuSheng Huang, Jun Xia, HanChun Yin
Author Affiliations +
Abstract
Integral imaging is a promising technique for both 3-D scene capturing and reconstruction. Recently, computational simulation has been used to generate the free view of reconstructed scenes without optical devices, which can easily overcome image quality degradation due to the physical limitations of optical devices. In the reconstruction process of integral imaging, current researches focus on the pinhole array model which regards lenslet array as pinhole array for simplicity. But in fact, the optical characteristics of the lenslet such as the focal length, the aperture size of the lenslet, and so on, have significant impact on the reconstructed 3-D scene. In this paper, we proposed a lenslet array model in computational integral imaging. The elemental images were picked up by using a well developed computer graphics programming library OpenGL. And then 3-D scene was reconstructed by an ideal diffraction-limited integral imaging model which taken into account of the effect of the focal length and the aperture size. We presented some simulations and evaluated the image quality by the peak-to-peak signal-to-noise ratio (PSNR). Experimental results show that the proposed lenslet array model increase the depth of field.
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YuSheng Huang, Jun Xia, and HanChun Yin "Three-dimensional scene reconstruction by using lenslet array model in computational integral imaging", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75131E (24 November 2009); https://doi.org/10.1117/12.837735
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KEYWORDS
3D modeling

Integral imaging

Image quality

3D image processing

3D image reconstruction

OpenGL

3D displays

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