Digital three-dimensional reconstruction based on integral imaging

Chao Li, Qian Chen, Hong Hua, Chen Mao, Ajun Shao

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)427-433
Number of pages7
JournalOptical Review
Issue number3
StatePublished - Jun 29 2015


  • 3D Reconstruction
  • ASIFT operator
  • Depth value optimization
  • Integral Image

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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