Camera array calibration for 3D integral imaging reconstruction and depth detection

Brody Monarca; Xin Shen

doi:10.1117/12.3013231

7 June 2024 Camera array calibration for 3D integral imaging reconstruction and depth detection

Brody Monarca, Xin Shen

Proceedings Volume 13041, Three-Dimensional Imaging, Visualization, and Display 2024; 130410F (2024) https://doi.org/10.1117/12.3013231
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

In this paper, we develop an algorithm for calibrating a camera array for 3D image reconstruction and depth detection. The developed algorithm uses the functionality of MATLAB’s Computer Vision Toolbox and allows for the calibration of any number of cameras. The resulting intrinsic and extrinsic parameters (x, y, and z position; focal length of the lens; and pixel size of the sensor) will be formatted and saved into a matrix for further computations. This increases the efficiency when conducting 3D image reconstruction and depth detection. The accuracy and precision of these calculations were experimentally verified using simulated scenes created in Autodesk 3Ds Max. Future work includes: adding functionality to make use of rotation parameters, testing with real-world data sets, and modification to increase the accuracy and efficiency of calculations.

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

Citation Download Citation

Brody Monarca and Xin Shen "Camera array calibration for 3D integral imaging reconstruction and depth detection", Proc. SPIE 13041, Three-Dimensional Imaging, Visualization, and Display 2024, 130410F (7 June 2024); https://doi.org/10.1117/12.3013231

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