Wide angle imaging system image simulation for accurate neural network performances prediction.

Julie Buquet; Julie Buquet; Julie Buquet; Raphael Larouche; Jocelyn Parent; Jean-François Lalonde; Simon Thibault; Simon Thibault

doi:10.1364/COSI.2022.CTh4C.3

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper CTh4C.3
•https://doi.org/10.1364/COSI.2022.CTh4C.3

Wide angle imaging system image simulation for accurate neural network performances prediction.

Julie Buquet, Raphael Larouche, Jocelyn Parent, Jean-François Lalonde, and Simon Thibault

Computational Optical Sensing and Imaging 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Advances in the Design of Computational Imaging Systems (CTh4C)

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J. Buquet, R. Larouche, J. Parent, J. Lalonde, and S. Thibault, "Wide angle imaging system image simulation for accurate neural network performances prediction.," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper CTh4C.3.

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Abstract

We developed a simulation pipeline of realistic wide-angle systems and compare the relative influence of optical characteristics used for design optimization (distortion, PSF) on single-image depth estimation accuracy using neural networks.

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