Three-dimensional volumetric object reconstruction using computational integral imaging.

By S. Hong, Ju-Seog Jang, Bahram Javidi. Optics Express, 2004

445 citations recorded by the source corpus.

We propose a three-dimensional (3D) imaging technique that can sense a 3D scene and computationally reconstruct it as a 3D volumetric image. Sensing of the 3D scene is carried out by obtaining elemental images optically using a pickup microlens array and a detector array. Reconstruction of volume pixels of the scene is accomplished by computationally simulating optical reconstruction according to ray optics. The entire pixels of the recorded elemental images contribute to volumetric reconstruction of the 3D scene. Image display planes at arbitrary distances from the display microlens array are computed and reconstructed by back propagating the elemental images through a computer synthesized pinhole array based on ray optics. We present experimental results of 3D image sensing and volume pixel reconstruction to test and verify the performance of the algorithm and the imaging system. The volume pixel values can be used for 3D image surface reconstruction.

Subfields: Atomic and Molecular Physics, and Optics, Media Technology

View Paper: https://www.semanticscholar.org/paper/1aa4851e77e220bca4ab908be0adc67afaa75cc5

How researchers see this paper

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In Atomic and Molecular Physics, and Optics

  1. Adrian Stern
  2. Bahram Javidi

In Media Technology

  1. Adrian Stern
  2. Bahram Javidi

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