Characterization of 3D printed computational imaging element for use in task-specific compressive classification

Gabriel C. Birch; Brian J. Redman; Amber L. Dagel; Bryan Kaehr; Daryl Dagel; Charles F. LaCasse; Tu-Thach Quach; Meghan Galiardi

doi:10.1117/12.2529259

6 September 2019 Characterization of 3D printed computational imaging element for use in task-specific compressive classification

Gabriel C. Birch, Brian J. Redman, Amber L. Dagel, Bryan Kaehr, Daryl Dagel, Charles F. LaCasse, Tu-Thach Quach, Meghan Galiardi

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Proceedings Volume 11136, Optics and Photonics for Information Processing XIII; 111360E (2019) https://doi.org/10.1117/12.2529259
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

We investigate the feasibility of additively manufacturing optical components to accomplish task-specific classification in a computational imaging device. We report on the design, fabrication, and characterization of a non-traditional optical element that physically realizes an extremely compressed, optimized sensing matrix. The compression is achieved by designing an optical element that only samples the regions of object space most relevant to the classification algorithms, as determined by machine learning algorithms. The design process for the proposed optical element converts the optimal sensing matrix to a refractive surface composed of a minimized set of non-repeating, unique prisms. The optical elements are 3D printed using a Nanoscribe, which uses two-photon polymerization for high-precision printing. We describe the design of several computational imaging prototype elements. We characterize these components, including surface topography, surface roughness, and angle of prism facets of the as-fabricated elements.

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Gabriel C. Birch, Brian J. Redman, Amber L. Dagel, Bryan Kaehr, Daryl Dagel, Charles F. LaCasse, Tu-Thach Quach, and Meghan Galiardi "Characterization of 3D printed computational imaging element for use in task-specific compressive classification", Proc. SPIE 11136, Optics and Photonics for Information Processing XIII, 111360E (6 September 2019); https://doi.org/10.1117/12.2529259

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KEYWORDS

Prisms

Binary data

Sensors

Optical components

Computational imaging

Optical design

Additive manufacturing

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