AI Article Synopsis

  • The paper introduces an OpenCL-based parallel processing method to efficiently generate elemental image arrays (EIAs) for hexagonal lens arrays from 3D objects.
  • Hexagonal lens arrays offer a higher fill factor than rectangular ones, but require substantial computations for determining pixel assignments to each lens.
  • The proposed image space parallel processing (ISPP) method significantly speeds up the EIA generation, enabling real-time interactive 3D displays with large volume data across various lens array scenarios.

Article Abstract

This paper proposes an open computer language (OpenCL) parallel processing method to generate the elemental image arrays (EIAs) for hexagonal lens array from a three-dimensional (3D) object such as a volume data. Hexagonal lens array has a higher fill factor compared to the rectangular lens array case; however, each pixel of an elemental image should be determined to belong to the single hexagonal lens. Therefore, generation for the entire EIA requires very large computations. The proposed method reduces processing time for the EIAs for a given hexagonal lens array. By using the proposed image space parallel processing (ISPP) method, it can enhance the processing speed that generates the 3D display of real-time interactive integral imaging for hexagonal lens array. In our experiment, we implemented the EIAs for hexagonal lens array in real-time and obtained a good processing time for a large of volume data for multiple cases of lens arrays.

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Source
http://dx.doi.org/10.1364/AO.52.008411DOI Listing

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