A study of integral imaging-based depth detection using single planner computational volumetric reconstruction

Vanden Haviland; Xin Shen

doi:10.1117/12.3014059

7 June 2024 A study of integral imaging-based depth detection using single planner computational volumetric reconstruction

Vanden Haviland, Xin Shen

Author Affiliations +

Proceedings Volume 13041, Three-Dimensional Imaging, Visualization, and Display 2024; 130410O (2024) https://doi.org/10.1117/12.3014059
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

In this undergraduate research work, we present studies on computational volumetric reconstruction and depth detection approaches. Computational integral imaging algorithm could provide 3D reconstructed images which include both infocus and out-of-focus pixels. Using two image analysis indicators, peak signal-to-noise ratio (PSNR) and structural similarity index measurement (SSIM), we discussed the accuracy and performance of 3D depth detection by comparing 2D captured images with 3D reconstructed images along a depth range.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Vanden Haviland and Xin Shen "A study of integral imaging-based depth detection using single planner computational volumetric reconstruction", Proc. SPIE 13041, Three-Dimensional Imaging, Visualization, and Display 2024, 130410O (7 June 2024); https://doi.org/10.1117/12.3014059

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