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Digital three-dimensional reconstruction based on integral imaging

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Abstract

This paper presents a digital three-dimensional reconstruction method based on a set of small-baseline elemental images captured with a micro-lens array and a CCD sensor. In this paper, we adopt the ASIFT (Affine Scale-invariant feature transform) operator as the image registration method. Among the set of captured elemental images, the elemental image located in the middle of the overall image field is used as the reference and corresponding matching points in each elemental image around the reference elemental are calculated, which enables to accurately compute the depth value of object points relatively to the reference image frame. Using optimization algorithm with redundant matching points can achieve 3D reconstruction finally. Our experimental results are presented to demonstrate excellent performance in accuracy and speed of the proposed algorithm.

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Acknowledgement

This work is partially supported by an NIH grant award R01 EB18921.

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Authors and Affiliations

  1. Department of Optoelectronic Technology, Nanjing University of Science and Technology, Xiaolingwei St #200, Nanjing, 210094, China

    Chao Li, Qian Chen, Chen Mao & Ajun Shao

  2. 3-Dimensional Visualization and Imaging Systems (3DVIS) Laboratory, College of Optics Sciences, University of Arizona, 1630E University Blvd, Tucson, AZ, 85721, USA

    Chao Li & Hong Hua

Authors
  1. Chao Li
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  2. Qian Chen
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  3. Hong Hua
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  4. Chen Mao
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  5. Ajun Shao
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Correspondence to Chao Li.

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Li, C., Chen, Q., Hua, H. et al. Digital three-dimensional reconstruction based on integral imaging. Opt Rev 22, 427–433 (2015). https://doi.org/10.1007/s10043-015-0074-9

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  • DOI: https://doi.org/10.1007/s10043-015-0074-9

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